Relevant bibliographies by topics / Multiple Mobile Signal Sources

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Multiple Mobile Signal Sources'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 September 2023

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Journal articles on the topic "Multiple Mobile Signal Sources"

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Sekiguchi, Kouhei, Yoshiaki Bando, Katsutoshi Itoyama, and Kazuyoshi Yoshii. "Layout Optimization of Cooperative Distributed Microphone Arrays Based on Estimation of Source Separation Performance." Journal of Robotics and Mechatronics 29, no. 1 (2017): 83–93. http://dx.doi.org/10.20965/jrm.2017.p0083.

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[abstFig src='/00290001/08.jpg' width='300' text='Optimizing robot positions for source separation' ] The active audition method presented here improves source separation performance by moving multiple mobile robots to optimal positions. One advantage of using multiple mobile robots that each has a microphone array is that each robot can work independently or as part of a big reconfigurable array. To determine optimal layout of the robots, we must be able to predict source separation performance from source position information because actual source signals are unknown and actual separation performance cannot be calculated. Our method thus simulates delay-and-sum beamforming from a possible layout to calculate gain theoretically, i.e., the expected ratio of a target sound source to other sound sources in the corresponding separated signal. Robots are moved into the layout with the highest average gain over target sources. Experimental results showed that our method improved the harmonic mean of signal-to-distortion ratios (SDRs) by 5.5 dB in simulation and by 3.5 dB in a real environment.
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Su, Kuo Lan, Bo Yi Li, and Jian Da Fong. "Development of the Escaping Programming System for Fire Environment." Applied Mechanics and Materials 300-301 (February 2013): 389–92. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.389.

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We present the path planning techniques of the fire escaping system using multiple mobile robots for intelligent building. The controller of the mobile robot is MCS-51 microchip, and acquires the detection signal from flame sensor through I/O pins, and receives the command from the supervised compute via wireless RF interface. The mobile robot transmits ID code, detection signal, location and orientation of the mobile robots to the supervised computer via wireless RF interface. We proposed A* searching algorithm to program escaping motion paths to guard peoples moving to the safety area using mobile robots, and develop user interface on the supervised computer for the fire escaping system. In the experimental results, the supervised computer locates the positions of fire sources by mobile robots, and programs the escaping paths on the user interface, and transmits the motion command to the mobile robots. The mobile robot guards peoples leaving the fire sources.
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Dang, Jian, Jiajun Gao, Zaichen Zhang, et al. "Performance of Optical Mobile Communications with User Mobility and Multiple Light Sources." Wireless Communications and Mobile Computing 2021 (September 13, 2021): 1–14. http://dx.doi.org/10.1155/2021/5573946.

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Optical mobile communication (OMC) is a recently proposed optical wireless communication concept aiming to provide very high-speed data rate optical wireless links for multiple and, in general, distributed mobile users. Previous work analyzed the rate performance of a two-user OMC system without user mobility. This paper extends the rate analysis to multiple users with mobility. The scenario of employing multiple light sources with possible user grouping is also considered. User mobility and multiple light sources lead to new challenges on the system design which are addressed for broadcast downlink communication in this work. Simulations show that user mobility decreases the rate, and the way of how to utilize multiple light sources has great impact on the performance. In particular, simultaneous power division usage of multiple light sources through user grouping and power allocation brings almost no gain as compared with the case of single light source. On the other hand, time division usage of multiple light sources is capable of compensating for the hardware deficiency and thus increasing the rate greatly. It is found that OMC is not only superior to the conventional scheme with nonadjustable channel gains but also outperforms free space optical scheme at high signal-to-noise ratio region.
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Annavajjala, Ramesh, Amine Maaref, and Jinyun Zhang. "Multiantenna Analog Network Coding for Multihop Wireless Networks." International Journal of Digital Multimedia Broadcasting 2010 (2010): 1–10. http://dx.doi.org/10.1155/2010/368562.

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This paper proposes a two-phase minimum mean-square-error bidirectional amplify-and forward (MMSE-BAF) relaying protocol to allow two sources exchange independent messages via a relay node equipped with multiple antennas. MMSE-BAF performs a joint linear MMSE filtering of the received signal after the multiple access phase before amplifying and forwarding the filtered signal using a single transmit antenna, possibly through a specific antenna selection procedure, during the broadcast phase. The proposed protocol extends upon the so-called analog network coding schemes in the literature in that it inherently exploits the multiple antennas at the relay station to reduce the noise enhancement typical of an AF protocol, and can also compensate for link imbalances between the relay and the sources and is agnostic to sources' modulation and coding schemes. We derive the instantaneous signal-to-noise ratio expressions for the received signal by the sources in the downlink and provide extensive link-level simulations for the MMSE-BAF protocol subject to both frequency flat and selective fading. Furthermore, we pinpoint the modifications to be incorporated into the IEEE 802.16e orthogonal-frequency-division multiple access (OFDMA) cellular standard (mobile WiMax) to enable support of multiantenna bidirectional communications and show that MMSE-BAF is a viable solution within that framework.
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Lehner, Andreas, and Alexander Steingaß. "Spatial Dynamic Wideband Modeling of the MIMO Satellite-to-Earth Channel." International Journal of Antennas and Propagation 2014 (2014): 1–20. http://dx.doi.org/10.1155/2014/102754.

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A novel MIMO (multiple input multiple output) satellite channel model that allows the generation of associated channel impulse response (CIR) time series depending on the movement profile of a land mobile terminal is presented in this paper. Based on high precise wideband measurements in L-band the model reproduces the correlated shadowing and multipath conditions in rich detail. The model includes time and space variant echo signals appearing and disappearing in dependence on the receive antenna position and movement, and the actual azimuths and elevations to the various signal sources. Attenuation and path delays relative to the hypothetical line of sight (LOS) ensure usability for ranging purposes. Parameters for car and pedestrian applications in urban and suburban environments are provided. The channel characteristics are determined independently of the transmitted signal. Therefore the usability, for example, for GPS and GALILEO, as well as wideband communication services from hovering platforms, is given.
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Liu, Jingrong, Zhongliang Deng, Enwen Hu, et al. "GNSS-5G Hybrid Positioning Based on Joint Estimation of Multiple Signals in a Highly Dependable Spatio-Temporal Network." Remote Sensing 15, no. 17 (2023): 4220. http://dx.doi.org/10.3390/rs15174220.

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The Global Navigation Satellite System (GNSS) has been widely used in every area of our daily life to provide accurate Positioning, Navigation, and Timing (PNT) services. However, due to the multipatch effect and an obstructed view of the satellite, GNSS receivers are susceptible to large-ranging errors, which are particularly prevalent in urban areas where precise positioning is indispensable. The deployment of the high-spatial-density Fifth-Generation (5G) network makes it possible to provide a broad area with high-precision positioning service. Obviously, it promoting the deep integration of the GNSS system and the 5G mobile communication network and establishing a Highly Dependable Spatio-temporal Network (HDSN) have become an inevitable trend. The existing algorithm for the fusion of multiple signals has difficulty settling problems such as the fast fluctuation of available signal sources and the poor stability of multi-scale multi-type signal estimation in GNSS-5G hybrid networks. Here, we propose a Square Root Unscented Stable Filter (SRUSF) for GNSS and 5G joint positioning with a compact coupled filter group architecture in a highly dependable spatio-temporal network. A stabilized coefficient is added to guarantee positive covariance of the estimation error. The possibility of divergence of filtering results due to the variation in signal sources and the incomplete agreement between the system model and the actual situation are reduced. The simulation results show that the proposed SRUSF method substantially enhances the positioning accuracy and reliability compared with the other five joint estimation methods for multiple signals. This work will enable the terminal of mass users to provide timing and positioning services with unprecedented accuracy and dependability under the GNSS and 5 G-based spatio-temporal network’s architecture.
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Bukartas, Antanas, Jonas Wallin, Robert Finck, and Christopher Rääf. "Bayesian algorithm to estimate position and activity of an orphan gamma source utilizing multiple detectors in a mobile gamma spectrometry system." PLOS ONE 16, no. 1 (2021): e0245440. http://dx.doi.org/10.1371/journal.pone.0245440.

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To avoid harm to the public and the environment, lost ionizing radiation sources must be found and brought back under the regulatory control as soon as possible. Usually, mobile gamma spectrometry systems are used in such search missions. It is possible to estimate the position and activity of point gamma sources by performing Bayesian inference on the measurement data. The aim of this study was to theoretically investigate the improvements in the Bayesian estimations of the position and activity of a point gamma source due to introduction of data from multiple detectors with angular variations of efficiency. Three detector combinations were tested—a single 123% HPGe detector, single 4l NaI (Tl) detector and a 123% HPGe with 2x4l NaI (Tl) detector combination—with and without angular efficiency variations for each combination resulting in six different variants of the Bayesian algorithm. It was found that introduction of angular efficiency variations of the detectors did improve the accuracy of activity estimation slightly, while introduction of data from additional detectors lowered the signal-to-noise ratio threshold of the system significantly, increasing the stability and accuracy of the estimated source position and activity, for a given signal-to-noise ratio.
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Manacorda, Marco, and Andrea Tesei. "Liberation Technology: Mobile Phones and Political Mobilization in Africa." Econometrica 88, no. 2 (2020): 533–67. http://dx.doi.org/10.3982/ecta14392.

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Can digital information and communication technology foster mass political mobilization? We use a novel georeferenced data set for the entire African continent between 1998 and 2012 on the coverage of mobile phone signal together with georeferenced data from multiple sources on the occurrence of protests and on individual participation in protests to bring this argument to empirical scrutiny. We find that while mobile phones are instrumental to mass mobilization, this only happens during economic downturns, when reasons for grievance emerge and the cost of participation falls. The results are in line with insights from a network model with imperfect information and strategic complementarities in protest occurrence. Mobile phones make individuals more responsive to both changes in economic conditions—a mechanism that we ascribe to enhanced information—and to their neighbors' participation—a mechanism that we ascribe to enhanced coordination.
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Konikov, Alexander I. "Teaching advanced methods of signal processing and transmission at universities of civil engineering." Stroitel'stvo: nauka i obrazovanie [Construction: Science and Education] 11, no. 1 (2021): 63–72. http://dx.doi.org/10.22227/2305-5502.2021.1.5.

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Introduction. Development and widespread dissemination of information technologies, including the Internet, mobile communications, cloud computing, Big Data, the Internet of Things, digital twin, etc. are being proactively introduced into versatile production and business processes of the construction industry. Therefore, a graduate of a civil engineering university must master the fundamentals of the above-listed technologies and know how to use them in his/her practical activities. It’s particularly important for those specialities that deal with information technologies in civil engineering. However, a number of important areas of knowledge that serve as the basis for mobile communications, the Internet, and wireless technologies, are only taught at specialized universities and schools. Nevertheless, students of civil engineering universities need to understand the theoretical provisions and processes of information technologies. Materials and methods. Systematization, the benchmark method, theoretical generalization of data extracted from literary sources were applied. Results. The founding notions, needed to discuss digital technologies, encompass temporary signal notation, spectral characteristics, spectral bandwidth, time and frequency division, multiplexing, discrete sampling and quantization of a signal. It is impossible to successfully study and effectively use these advanced technologies without having understood these fundamental technologies. The author offers a simplified explanation of these notions and principal processes in terms of their application in the construction industry. Conclusions. The author addresses complicated issues of the theory of signals and their transmission over communication lines. He presents the three key ideas that serve as the basis for multiple advanced information technologies, including time and spectrum signal notation, time and frequency division, multiplexing, discrete sampling and quantization of a signal. The author’s ideas can be used to teach mobile technologies, the Internet, the Internet of Things, cloud and edge computing, digital twin, etc.
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Stancheva, Anushka. "EMC assassement criteria and interference protection for basic radio services in accordance with ITU-R recommendations." Yearbook Telecommunications 7 (August 12, 2021): 1–9. http://dx.doi.org/10.33919/ytelecomm.20.7.1.

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The effect of unwanted energy due to one or a combination of several desired and unwanted emissions upon reception in a radio communication system results in performance degradation, misinterpretation or loss of information. Multiple sources of interference may affect the receiver input: services of the same type or other operating in the same frequency band, services operating in adjacent frequency bands, sources generating continuous or short term interferences, fixed or mobile sources, etc. To prevent such interfering situations, a key element is the standardization of appropriate criteria for electromagnetic compatibility (EMC) and interference protection (IPC). The purpose of the studies and analyzes in this article is to systematize the criteria for electromagnetic compatibility for basic radio services based on the Publications of ITU-R. Criteria for four important areas of radio communications covering fixed, fixed satellite, broadcasting and mobile radio services are compared. Contributions are the categorization of the criteria according to the type of interfering signal and the results of the analyses, which show that the regulatory requirements and practical methods for interference protection and EMC for different radio services differ. Detailed criteria for predicting the probability of interference being standardized only for some radio services.
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Dissertations / Theses on the topic "Multiple Mobile Signal Sources"

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Habool, Al-Shamery Maitham. "Reconstruction of multiple point sources by employing a modified Gerchberg-Saxton iterative algorithm." Thesis, University of Sussex, 2018. http://sro.sussex.ac.uk/id/eprint/79826/.

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Digital holograms has been developed an used in many applications. They are a technique by which a wavefront can be recorded and then reconstructed, often even in the absence of the original object. In this project, we use digital holography methods in which the original object amplitude and phase are recorded numerically, which would allow these data be downloaded to a spatial light modulator (SLM).This provides digital holography with capabilities that are not available using optical holographic methods. The digital holographically reconstructed image can be refocused to different depths depending on the reconstruction distance. This remarkable aspect of digital holography as can be useful in many applications and one of the most beneficial applications is when it is used for the biological cell studies. In this research, point source digital in-line and off-axis digital holography with a numerical reconstruction has been studied. The point source hologram can be used in many biological applications. As the original object we use the binary amplitude Fresnel zone plate which is made by rings with an alternating opaque and transparent transmittance. The in-line hologram of a spherical wave of wavelength, λ, emanating from the point source is initially employed in the project. Also, we subsequently employ an off-axis point source in which the original point-source object is translated away from original on-axis location. Firstly, we create the binary amplitude Fresnel zone plate (FZP) which is considered the hologram of the point source. We determine a phase-only digital hologram calculation technique for the single point source object. We have used a modified Gerchberg-Saxton algorithm (MGSA) instead of the non-iterative algorithm employed in classical analogue holography. The first complex amplitude distribution, i(x, y), is the result of the Fourier transform of the point source phase combined with a random phase. This complex filed distribution is the input of the iteration process. Secondly, we propagate this light field by using the Fourier transform method. Next we apply the first constraint by modifying the amplitude distribution, that is by replacing it with the measured modulus and keeping the phase distribution unchanged. We use the root mean square error (RMSE) criterion between the reconstructed field and the target field to control the iteration process. The RMSE decreases at each iteration, giving rise to an error-reduction in the reconstructed wavefront. We then extend this method to the reconstruction of multiple points sources. Thus the overall aim of this thesis has been to create an algorithm that is able to reconstruct the multi-point source objects from only their modulus. The method could then be used for biological microscopy applications in which it is necessary to determine the position of a fluorescing source from within a volume of biological tissue.
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Pather, Direshin. "A model for context awareness for mobile applications using multiple-input sources." Thesis, Nelson Mandela Metropolitan University, 2015. http://hdl.handle.net/10948/2969.

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Context-aware computing enables mobile applications to discover and benefit from valuable context information, such as user location, time of day and current activity. However, determining the users’ context throughout their daily activities is one of the main challenges of context-aware computing. With the increasing number of built-in mobile sensors and other input sources, existing context models do not effectively handle context information related to personal user context. The objective of this research was to develop an improved context-aware model to support the context awareness needs of mobile applications. An existing context-aware model was selected as the most complete model to use as a basis for the proposed model to support context awareness in mobile applications. The existing context-aware model was modified to address the shortcomings of existing models in dealing with context information related to personal user context. The proposed model supports four different context dimensions, namely Physical, User Activity, Health and User Preferences. A prototype, called CoPro was developed, based on the proposed model, to demonstrate the effectiveness of the model. Several experiments were designed and conducted to determine if CoPro was effective, reliable and capable. CoPro was considered effective as it produced low-level context as well as inferred context. The reliability of the model was confirmed by evaluating CoPro using Quality of Context (QoC) metrics such as Accuracy, Freshness, Certainty and Completeness. CoPro was also found to be capable of dealing with the limitations of the mobile computing platform such as limited processing power. The research determined that the proposed context-aware model can be used to successfully support context awareness in mobile applications. Design recommendations were proposed and future work will involve converting the CoPro prototype into middleware in the form of an API to provide easier access to context awareness support in mobile applications.
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Shekaramiz, Mohammad. "Sparse Signal Recovery Based on Compressive Sensing and Exploration Using Multiple Mobile Sensors." DigitalCommons@USU, 2018. https://digitalcommons.usu.edu/etd/7384.

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The work in this dissertation is focused on two areas within the general discipline of statistical signal processing. First, several new algorithms are developed and exhaustively tested for solving the inverse problem of compressive sensing (CS). CS is a recently developed sub-sampling technique for signal acquisition and reconstruction which is more efficient than the traditional Nyquist sampling method. It provides the possibility of compressed data acquisition approaches to directly acquire just the important information of the signal of interest. Many natural signals are sparse or compressible in some domain such as pixel domain of images, time, frequency and so forth. The notion of compressibility or sparsity here means that many coefficients of the signal of interest are either zero or of low amplitude, in some domain, whereas some are dominating coefficients. Therefore, we may not need to take many direct or indirect samples from the signal or phenomenon to be able to capture the important information of the signal. As a simple example, one can think of a system of linear equations with N unknowns. Traditional methods suggest solving N linearly independent equations to solve for the unknowns. However, if many of the variables are known to be zero or of low amplitude, then intuitively speaking, there will be no need to have N equations. Unfortunately, in many real-world problems, the number of non-zero (effective) variables are unknown. In these cases, CS is capable of solving for the unknowns in an efficient way. In other words, it enables us to collect the important information of the sparse signal with low number of measurements. Then, considering the fact that the signal is sparse, extracting the important information of the signal is the challenge that needs to be addressed. Since most of the existing recovery algorithms in this area need some prior knowledge or parameter tuning, their application to real-world problems to achieve a good performance is difficult. In this dissertation, several new CS algorithms are proposed for the recovery of sparse signals. The proposed algorithms mostly do not require any prior knowledge on the signal or its structure. In fact, these algorithms can learn the underlying structure of the signal based on the collected measurements and successfully reconstruct the signal, with high probability. The other merit of the proposed algorithms is that they are generally flexible in incorporating any prior knowledge on the noise, sparisty level, and so on. The second part of this study is devoted to deployment of mobile sensors in circumstances that the number of sensors to sample the entire region is inadequate. Therefore, where to deploy the sensors, to both explore new regions while refining knowledge in aleady visited areas is of high importance. Here, a new framework is proposed to decide on the trajectories of sensors as they collect the measurements. The proposed framework has two main stages. The first stage performs interpolation/extrapolation to estimate the phenomenon of interest at unseen loactions, and the second stage decides on the informative trajectory based on the collected and estimated data. This framework can be applied to various problems such as tuning the constellation of sensor-bearing satellites, robotics, or any type of adaptive sensor placement/configuration problem. Depending on the problem, some modifications on the constraints in the framework may be needed. As an application side of this work, the proposed framework is applied to a surrogate problem related to the constellation adjustment of sensor-bearing satellites.
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Djendi, Mohamed. "Méthodes améliorées de débruitage bi-capteurs dans un contexte automobile." Rennes 1, 2010. http://www.theses.fr/2010REN1S012.

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Dans les systèmes mono-capteur d’annulation du bruit, une seule observation est disponible pour séparer la parole du bruit par un algorithme de rehaussement. Cette séparation est la plupart du temps faite sous l’hypothèse de stationnarité du bruit. Cette hypothèse ne se vérifie que très peu dans le contexte véhicule : il en résulte de nombreuses distorsions du bruit et de la parole. Ceci nous amène à considérer l'utilisation d'un second microphone. Ce second capteur doit permettre de s'affranchir de l'hypothèse de stationnarité du bruit et permet d'avoir des informations sur la configuration spatiale des signaux. Deux structures de séparation de sources (BSS) bi-capteurs connues sous les noms Directe et Récursive sont souvent utilisées dans ce contexte. La structure BSS Directe a comme contrainte la difficulté d’estimation d’un post-filtre de type RII en sortie pour corriger les distortions spectrales qu’elle introduit. Dans cette thèse nous proposons trois nouvelles méthodes dédiées pour l’estimation de ce post-filtre : La première méthode est basée sur un calcul temporel du post-filtre par un algorithme de filtrage adaptatif ; la deuxième méthode est basée sur un calcul direct du post-filtre dans le domaine fréquentiel ; la troisième méthode utilise un algorithme de filtrage adaptatif fréquentiel pour l’estimation du post-filtre. Nous utilisons une nouvelle forme robuste du pas d’adaptation fréquentiel de l’algorithme adaptatif utilisé. Nous proposons aussi dans cette thèse l’utilisation de l’algorithme adaptatif de type Newton FNTF (Fast Newton Transversal Filter) dans la structure BSS Directe pour estimer les filtres de la matrice de séparation. Ce nouvel algorithme appelé FNTF double (DFNTF) a donné de bons résultats en comparaison avec d’autres algorithmes Doubles proposés précédemment dans la littérature. Les approches optimales que nous proposons dans cette thèse pour l’estimation du post-filtre placé en sortie de la structure BSS Directe, apportent des gains de correction spectrale importants par rapport aux techniques et aux méthodes classiques de la séparation de sources basées sur les deux structures Directe et Récursive. Une étude comparative avec des méthodes de l'état de l'art est réalisée et présentée dans ce sens. Cette étude confirme la supériorité et les bonnes performances de nos méthodes<br>In the mono-sensor systems for noise cancellation, only one observation is used to separate the speech signal from the noise by an enhancement algorithm. This separation is most of the time made by supposing a stationary noise. This assumption is not largely verified in a car context: it results many distortions of the noise and the speech signal. This leads us to consider the use of a second microphone. This second sensor must make it possible to be free from the stationary noise assumption and allows getting information on signals spatial configuration. Two blind sources separation structures (BSS) known under the names Forward and Backward are often used in this context. The BSS Forward structure is constrained by the estimation problem of an RII type post-filter at the output to correct the spectral distortions that it introduces. In this Ph. D thesis, we propose three new methods dedicated to the estimation of this post-filter: The first method is based on a time-domain calculation of the post-filter by an adaptive filtering algorithm, the second method is based on an open-loop frequency-domain calculation of the post-filter, the third method uses a frequency-domain adaptive filtering algorithm to estimate the post-filter. We propose the use of a new robust form of the frequency-domain step-size for the used adaptive algorithm. We also propose in this Ph. D thesis the use of the Newton adaptive filtering algorithm FNTF (Fast Newton Transverse Filter) with the BSS Forward structure to estimate the filters of the mixing matrix. This new algorithm called double FNTF (DFNTF) gave good results in comparison with other double algorithms proposed previously in the literature. The optimal approaches that we propose in this thesis to estimate the post-filter placed at the output of the BSS Forward structure, bring a significant spectral correction profit compared to the techniques and to the traditional methods of sources separation based on the two structures Forward and Backward. A comparative study with methods of the state of the art is carried out and presented. This study confirms the superiority and the good performances of our methods
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Nion, Dimitri Fijalkow Inbar. "Méthodes PARAFAC généralisées pour l'extraction aveugle de sources Application aux systèmes DS-CDMA /." [S.l.] : [s.n.], 2008. http://biblioweb.u-cergy.fr/theses/07CERG0322.pdf.

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Gabrea, Georghe Marcel. "Rehaussement de la parole en ambiance bruitée : méthodes monovoie et bivoie." Bordeaux 1, 1999. http://www.theses.fr/1999BOR12051.

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Le rehaussement de la parole consiste à améliorer un ou plusieurs aspects perceptifs du signal vocal. On suppose qu'un ou deux microphones sont utilisés pour la prise de son et on cherche à réduire le bruit. On présente l'état de l'art du rehaussement de la parole perturbée par un bruit additif dans le cas où l'on ne dispose que d'un seul signal capté. Ensuite des nouvelles approches que nous avons proposés sont regroupe en deux classes. Dans la première, on considère le signal de parole modélisé par un processus AR contaminé par un bruit additif blanc; trois nouvelles méthodes sont proposées. Dans la seconde, on considère le signal de parole et le bruit contaminant additif modélisés par des processus AR. Deux méthodes sont proposées dans ce cadre. La suite concerne le débruitage de la parole dans le cas où l'on dispose de deux signaux captés séparément dans le même milieu bruité. La première approche proposée par Widrow et fondée sur un seul filtre adaptatif, n'est utilisable que dans le cas où la composante de la parole captée par le second microphone est négligeable. Dans les autres cas il faut envisager des schémas plus complexes, comme les schémas FFIS (FeedForward Implementation Scheme) et FBIS (FeedBack Implementation Scheme). Les méthodes fondées sur le schéma FFIS sont regroupées en deux classes. Dans la première les méthodes fondées sur la décorrélation des signaux intermédiaires et dans la seconde, les méthodes fondées sur les statistiques d'ordre supérieur. Nous avons proposé un nouvel algorithme en utilisant les statistiques d'ordre trois. [etc. . . ]
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Gabrea, Georghe Marcel. "Rehaussement de la parole en ambiance bruitée : méthodes monovoie et bivoie." Bordeaux 1, 1999. http://www.theses.fr/1999BOR10662.

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Le rehaussement de la parole consiste à améliorer un ou plusieurs aspects perceptifs du signal vocal. On suppose qu'un ou deux microphones sont utilisés pour la prise de son et on cherche à réduire le bruit. On présente l'état de l'art du rehaussement de la parole perturbée par un bruit additif dans le cas où l'on ne dispose que d'un seul signal capté. Ensuite des nouvelles approches que nous avons proposés sont regroupe en deux classes. Dans la première, on considère le signal de parole modélisé par un processus AR contaminé par un bruit additif blanc; trois nouvelles méthodes sont proposées. Dans la seconde, on considère le signal de parole et le bruit contaminant additif modélisés par des processus AR. Deux méthodes sont proposées dans ce cadre. La suite concerne le débruitage de la parole dans le cas où l'on dispose de deux signaux captés séparément dans le même milieu bruité. La première approche proposée par Widrow et fondée sur un seul filtre adaptatif, n'est utilisable que dans le cas où la composante de la parole captée par le second microphone est négligeable. Dans les autres cas il faut envisager des schémas plus complexes, comme les schémas FFIS (FeedForward Implementation Scheme) et FBIS (FeedBack Implementation Scheme). Les méthodes fondées sur le schéma FFIS sont regroupées en deux classes. Dans la première les méthodes fondées sur la décorrélation des signaux intermédiaires et dans la seconde, les méthodes fondées sur les statistiques d'ordre supérieur. Nous avons proposé un nouvel algorithme en utilisant les statistiques d'ordre trois. [etc. . . ]
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Ros, Laurent. "Réception multi-capteur pour un terminal radio-mobile dans un système d'accès multiple à répartion par codes : application au mode TDD de l'UMTS." Phd thesis, Grenoble INPG, 2001. http://tel.archives-ouvertes.fr/tel-00687474.

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Cette thèse s'inscrit dans le cadre des systèmes de radiocommunications numériques cellulaires à accès multiple à répartition par codes, CDMA, basé sur la technique d'étalement de spectre. Les ordres de grandeur sont ceux de la liaison descendante du prochain système de 3ème génération de téléphonie mobile, UMTS, dans sa version TDD. Après une description détaillée du contexte, nous dérivons les traitements linéaires optimaux "théoriques" de réception multi-capteur multi-utilisateur opérant symbole par symbole sur le mobile, pour des canaux sélectifs. Ceci à partir d'une représentation en fréquence proposée, et en insistant sur les aspects interprétations. L'application au calcul de performances pour divers modèles d'environnement de l'UMTS mesure l'apport d'une réception sur 2 ou 3 éléments pour lutter efficacement contre les phénomènes duaux d'interférence et d'évanouissement apportés par le canal, de même que le bénéfi ce de la détection conjointe "multi-utilisateur". La dernière partie, plus pragmatique, étudie les structures numériques de réalisation pour essayer de trouve les bons compromis performances/complexité. Nous comparons d'abord la structure linéaire "libre" avec une structure imposée approximant à durée finie la solution linéaire "théorique", et dégageons les caractéristiques souhaitables pour de nouvelles structures "intermédiaires" que nous proposons et étudions à la suite. Enfin nous illustrons le comportement adaptatif de ces structures en environnement "véhicule".
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Nion, Dimitri. "Méthodes PARAFAC généralisées pour l'extraction aveugle de sources : Application aux systèmes DS-CDMA." Cergy-Pontoise, 2007. http://www.theses.fr/2007CERG0322.

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L'objet de cette thèse est le développement de méthodes PARAFAC généralisées pour l'extraction aveugle de sources dans un système DS-CDMA multi-utilisateurs. Il s'avère que les diversités spatiales et temporelles ainsi que la diversité de codes permettent de stocker les échantillons du signal reçu dans un tenseur d'ordre trois. La séparation aveugle des signaux présents consiste alors à décomposer ce tenseur en une somme de contributions. Jusqu'à présent, cette approche a été utilisée en télécommunications pour des canaux de propagation non-sélectifs en fréquence et la solution est donnée par la décomposition PARAFAC. Cependant, pour un scénario de propagation plus réaliste, caractérisé par des trajets multiples engendrant de l'Interférence entre symboles, cette décomposition ne permet pas de résoudre le problème. Dans ce contexte, l'objectif central de cette thèse est le développement de récepteurs algébriques multilinéaires basés sur une généralisation de la décomposition PARAFAC<br>The goal of this PhD Thesis is to develop generalized PARAFAC decompositions for blind source extraction in a multi-user DS-CDMA system. The spatial, temporal and code diversities allow to store the samples of the received signal in a third order tensor. In order to blindly estimate the symbols of each user, we decompose this tensor in a sum of users' contributions. Until now, this multilinear approach has been used in wireless communications for instantaneous channels, in which case the problem is solved by the PARAFAC decomposition. However, in multipath channels with Inter-Symbol-Interference, this decomposition has to be generalized. The main contribution of this Thesis is to build tensor decompositions more general than PARAFAC to take this propagation scenario into account
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Nguyen, Van Quan. "Cartographie d'un environnement sonore par un robot mobile." Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0172/document.

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L’audition est une modalité utile pour aider un robot à explorer et comprendre son environnement sonore. Dans cette thèse, nous nous intéressons à la tâche de localiser une ou plusieurs sources sonores mobiles et intermittentes à l’aide d’un robot mobile équipé d’une antenne de microphones en exploitant la mobilité du robot pour améliorer la localisation. Nous proposons d’abord un modèle bayésien pour localiser une seule source mobile intermittente. Ce modèle estime conjointement la position et l’activité de la source au cours du temps et s’applique à tout type d’antenne. Grâce au mouvement du robot, il peut estimer la distance de la source et résoudre l’ambiguïté avant-arrière qui apparaît dans le cas des antennes linéaires. Nous proposons deux implémentations de ce modèle, l’une à l’aide d’un filtre de Kalman étendu basé sur des mélanges de gaussiennes et l’autre à l’aide d’un filtre à particules, que nous comparons en termes de performance et de temps de calcul. Nous étendons ensuite notre modèle à plusieurs sources intermittentes et mobiles. En combinant notre filtre avec un joint probability data association filter (JPDAF), nous pouvons estimer conjointement les positions et activités de deux sources sonores dans un environnement réverbérant. Enfin nous faisons une contribution à la planification de mouvement pour réduire l’incertitude sur la localisation d’une source sonore. Nous définissons une fonction de coût avec l’alternative entre deux critères: l’entropie de Shannon ou l’écart-type sur l’estimation de la position. Ces deux critères sont intégrés dans le temps avec un facteur d’actualisation. Nous adaptons alors l’algorithme de Monte-Carlo tree search (MCTS) pour trouver, efficacement, le mouvement du robot qui minimise notre fonction de coût. Nos expériences montrent que notre méthode surpasse, sur le long terme, d’autres méthodes de planification pour l’audition robotique<br>Robot audition provides hearing capability for robots and helps them explore and understand their sound environment. In this thesis, we focus on the task of sound source localization for a single or multiple, intermittent, possibly moving sources using a mobile robot and exploiting robot motion to improve the source localization. We propose a Bayesian filtering framework to localize the position of a single, intermittent, possibly moving sound source. This framework jointly estimates the source location and its activity over time and is applicable to any micro- phone array geometry. Thanks to the movement of the robot, it can estimate the distance to the source and solve the front-back ambiguity which appears in the case of a linear microphone array. We propose two implementations of this framework based on an extended mixture Kalman filter (MKF) and on a particle filter, that we compare in terms of performance and computation time. We then extend our model to the context of multiple, intermittent, possibly moving sources. By implementing an extended MKF with joint probabilistic data association filter (JPDAF), we can jointly estimate the locations of two sources and their activities over time. Lastly, we make a contribution on long-term robot motion planning to optimally reduce the uncertainty in the source location. We define a cost function with two alternative criteria: the Shannon entropy or the standard deviation of the estimated belief. These entropies or standard deviations are integrated over time with a discount factor. We adapt the Monte Carlo tree search (MCTS) method for efficiently finding the optimal robot motion that will minimize the above cost function. Experiments show that the proposed method outperforms other robot motion planning methods for robot audition in the long run
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Books on the topic "Multiple Mobile Signal Sources"

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CDMA: Principles of spread spectrum communication. Addison-Wesley Pub. Co., 1995.

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Signal Processing Applications in Cdma Communications (Artech House Mobile Communications Series). Artech House Publishers, 2000.

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Time Division Multiple Access For Vehicular Communications. Springer, 2014.

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Earn $300 Dollars a Day or Night Using Your Mobile Smartphone Device: How to Earn Multiple Sources of Income with Your Smartphone. Independently Published, 2020.

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Viterbi, Andrew J. CDMA: Principles of Spread Spectrum Communication (Addison-Wesley Wireless Communications). Prentice Hall PTR, 1995.

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CDMA Capacity and Quality Optimization (Telecom Engineering). McGraw-Hill Professional, 2003.

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Kemp, Sid, and Adam N. Rosenberg. CDMA Capacity and Quality Optimization (Telecom Engineering). McGraw-Hill Professional, 2003.

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Parks, Lisa, and Nicole Starosielski. Introduction. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252039362.003.0012.

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This introductory chapter provides an overview of signal traffic in the contemporary era of media globalization—an era characterized by contradictory global mediascapes and multiple media infrastructures. Signal traffic refers to the movement of electronic media across various parts of the planet. Today, broadcasting, cable, satellite, Internet, and mobile telephone systems are used simultaneously, and sometimes in coordinated ways, to route signal traffic to and from sites around the world. The content and form of contemporary media—whether television programs or online games—are shaped in relation to the properties and locations of these distribution systems. As a suggestive concept, then, signal traffic demarcates a critical shift away from the analysis of screened content alone and toward an understanding of how content moves through the world and how this movement affects content's form.
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Wright, A. G. Linear performance. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199565092.003.0009.

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This chapter is concerned with a single consideration: the degree of proportionality between a light signal and its resulting electrical output. This is formally referred to as linearity, which depends on the suitability of the chosen PMT and the mode of operation (pulsed or analogue). Applications fall into two groups: analogue operation (DC) and transient applications. Linearity in a pulsed mode of operation concerns both pulse height (charge) and the rate of events. Generally, in the DC mode, only the mean anode current is relevant. Methods for determining both forms of non-linearity are presented, based on actual measurements. Test methods using multiple light sources, bootstrapping, single step (piggyback), and shot noise are investigated. A method for uncovering non-linearity in high-Z scintillators by using coincident gamma emissions (60Co) is demonstrated. An analytical means for correcting results at the 1 % level is provided.
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Book chapters on the topic "Multiple Mobile Signal Sources"

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Kaipa, Krishnanand N., and Debasish Ghose. "Pursuit of Multiple Mobile Signal Sources." In Glowworm Swarm Optimization. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51595-3_7.

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Watanabe, Fujio, Gang Wu, and Hideichi Sasaoka. "Performance Evaluation of Reserved Idle Signal Multiple Access with Collision Resolution." In Mobile Multimedia Communications. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-0151-4_23.

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Qiao, Lin, Weitong Huang, Qi Wen, and Xiaolong Fu. "An Integrated Information Retrieval Support System for Multiple Distributed Heterogeneous Cross-Lingual Information Sources." In Networking and Mobile Computing. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11534310_91.

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Cook, Simon J., Susan Palmer, Robin Plevin, and Michael J. O. Wakelam. "Multiple sources of sn-1,2-diacylglycerol in mitogen-stimulated Swiss 3T3 cells; evidence for activation of phosphoinositidase C and PtdChophospholipase D." In Biological Signal Transduction. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-75136-3_30.

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Smaragdis, Paris. "Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs." In Independent Component Analysis and Blind Signal Separation. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30110-3_63.

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Affam, Azuka, and Rosmiwati Mohd-Mokhtar. "Application of Three Independent Sources to Mobile Phone Charging During Emergencies." In 10th International Conference on Robotics, Vision, Signal Processing and Power Applications. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6447-1_33.

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Ito, Nobutaka, Emmanuel Vincent, Nobutaka Ono, Rémi Gribonval, and Shigeki Sagayama. "Crystal-MUSIC: Accurate Localization of Multiple Sources in Diffuse Noise Environments Using Crystal-Shaped Microphone Arrays." In Latent Variable Analysis and Signal Separation. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15995-4_11.

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Ma, Jie-Ming, Bin Wang, Yang Cao, and Li-Ming Zhang. "Multiple Signal Classification Based on Chaos Optimization Algorithm for MEG Sources Localization." In Advances in Neural Networks - ISNN 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11760191_88.

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Castellano-Quero, Manuel, Juan-Antonio Fernández-Madrigal, and Alfonso J. García-Cerezo. "Integrating Multiple Sources of Knowledge for the Intelligent Detection of Anomalous Sensory Data in a Mobile Robot." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36150-1_14.

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Mason, Lucia, Angelica Moè, Maria Caterina Tornatora, and Angelica Ronconi. "Promoting Web-Source Evaluation and Comprehension of Conflicting Online Documents: Effects of Classroom Interventions." In Psychology, Learning, Technology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15845-2_1.

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AbstractThis study examines the effectiveness of two short-term instructional interventions on the evaluation of digital sources in the classroom context. One hundred sixty-one 8th graders were involved in one of three conditions: an intervention based on providing declarative knowledge (DK) on source evaluation, an intervention based on providing contrasting cases (CC) of source evaluation strategies, and a control condition (C) with no intervention. Students in both intervention conditions carried out a series of activities in two lessons. Prior topic knowledge and interest, reading comprehension, working memory, and perceived competence in online information search and evaluation were used as control variables to ensure the equivalence of participants across conditions. In all conditions, participants were asked to read four documents on the debated issue of the potential health risks associated with the use of the mobile phone and, after reading, to rank-order them for reliability, providing justifications for their rank-ordering, and to write a short essay to judge those health risks, based on the texts read. The findings indicate that both interventions were effective, to some extent, in promoting the use of source characteristics in reliability judgments, as revealed by the justifications provided by the students for motivating their rank-ordering of the read documents. Both interventions were also effective in supporting multiple-text comprehension as revealed by the students’ argumentation in short essays.
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Conference papers on the topic "Multiple Mobile Signal Sources"

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Liu, Bo, Wanlei Zhou, Jiaojiao Jiang, and Kun Wang. "K-Source: Multiple source selection for traffic offloading in mobile social networks." In 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP). IEEE, 2016. http://dx.doi.org/10.1109/wcsp.2016.7752474.

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Hoang, Brandon, Urmil Shah, Ryan Villanueva, and Kiran George. "Study of EEG signals for Focus Detection for Cocktail Party Phenomenon using Multiple Sources of Sound." In 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). IEEE, 2020. http://dx.doi.org/10.1109/iemcon51383.2020.9284912.

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Bashaw, M. C., J. F. Heanue, and L. Hesselink. "Mobile Ion Compensation in Photorefractive Media for Multiplex Holography." In Nonlinear Optics: Materials, Fundamentals and Applications. Optica Publishing Group, 1996. http://dx.doi.org/10.1364/nlo.1996.jtud.7.

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Volume holography is an important candidate for data storage and data processing applications. Its advantages lie in the inherent high capacity of volume memory, fast access due to optical addressing, and fast transfer rates due to the parallel nature of holography [1]. Multiple holograms, or data pages, may be stored using angular multiplexing, wavelength multiplexing, and related techniques. Capacity is determined by the angular bandwidth of the signal, the number of holographic pages, and the acceptable level of noise due to crosstalk and other sources present in the system. Volume holography is also an important candidate for optical interconnects and wavelength division multiplexing in communications and computing systems. Frequently, the same criteria required for data storage coincide with those required for other applications.
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Dumitrescu, Sorina, Jun Chen, and Ying Zhang. "Multiple description coding for binary sources." In Signal Processing (WCSP 2009). IEEE, 2009. http://dx.doi.org/10.1109/wcsp.2009.5371724.

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Kuo, Chan-Sheng, Tzung-Pei Hong, and Chuen-Lung Chen. "Integrating Multiple Knowledge Sources by Genetic Programming." In Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/iih-msp.2007.216.

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Rossi, Claudio, Antonio Barrientos, Jaime del Cerro, Pedro Gutierrez, Alexander Martinez, and Rodrigo San Martin. "Pose Estimation with Multiple Sources Using Evolutionary Algorithms." In 2007 IEEE International Symposium on Intelligent Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/wisp.2007.4447597.

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Meiguni, Javad, Morten Soerensen, Wei Zhang, et al. "System Level EMC for Multiple EMI Sources." In 2019 IEEE International Symposium on Electromagnetic Compatibility, Signal & Power Integrity (EMC+SIPI). IEEE, 2019. http://dx.doi.org/10.1109/isemc.2019.8825303.

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Niemi, Esa, Matti Lassas, and Samuli Siltanen. "Dynamic X-ray tomography with multiple sources." In 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA). IEEE, 2013. http://dx.doi.org/10.1109/ispa.2013.6703813.

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Chen, Tao, Jinlong Zhang, Wayne Wei Huang, and Yurong Zeng. "Evaluating information technology investment under multiple sources of risks." In 2007 International Conference on Wireless Communications, Networking and Mobile Computing. IEEE, 2007. http://dx.doi.org/10.1109/wicom.2007.1499.

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Parisi, Raffaele, Riccardo Russo, Michele Scarpiniti, and Aurelio Uncini. "Localization of audio sources by multiple binaural sensors." In 2013 18th International Conference on Digital Signal Processing (DSP). IEEE, 2013. http://dx.doi.org/10.1109/icdsp.2013.6622762.

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Reports on the topic "Multiple Mobile Signal Sources"

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Brown Horowitz, Sigal, Eric L. Davis, and Axel Elling. Dissecting interactions between root-knot nematode effectors and lipid signaling involved in plant defense. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7598167.bard.

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Root-knot nematodes, Meloidogynespp., are extremely destructive pathogens with a cosmopolitan distribution and a host range that affects most crops. Safety and environmental concerns related to the toxicity of nematicides along with a lack of natural resistance sources threaten most crops in Israel and the U.S. This emphasizes the need to identify genes and signal mechanisms that could provide novel nematode control tactics and resistance breeding targets. The sedentary root-knot nematode (RKN) Meloidogynespp. secrete effectors in a spatial and temporal manner to interfere with and mimic multiple physiological and morphological mechanisms, leading to modifications and reprogramming of the host cells' functions, resulted in construction and maintenance of nematodes' feeding sites. For successful parasitism, many effectors act as immunomodulators, aimed to manipulate and suppress immune defense signaling triggered upon nematode invasion. Plant development and defense rely mainly on hormone regulation. Herein, a metabolomic profiling of oxylipins and hormones composition of tomato roots were performed using LC-MS/MS, indicating a fluctuation in oxylipins profile in a compatible interaction. Moreover, further attention was given to uncover the implication of WRKYs transcription factors in regulating nematode development. In addition, in order to identify genes that might interact with the lipidomic defense pathway induced by oxylipins, a RNAseq was performed by exposing M. javanicasecond-stage juveniles to tomato protoplast, 9-HOT and 13-KOD oxylipins. This transcriptome generated a total of 4682 differentially expressed genes (DEGs). Being interested in effectors, we seek for DEGs carrying a predicted secretion signal peptide. Among the DEGs including signal peptide, several had homology with known effectors in other nematode species, other unknown potentially secreted proteins may have a role as root-knot nematodes' effectors which might interact with lipid signaling. The molecular interaction of LOX proteins with the Cyst nematode effectors illustrate the nematode strategy in manipulating plant lipid signals. The function of several other effectors in manipulating plant defense signals, as well as lipids signals, weakening cell walls, attenuating feeding site function and development are still being studied in depth for several novel effectors. As direct outcome of this project, the accumulating findings will be utilized to improve our understanding of the mechanisms governing critical life-cycle phases of the parasitic M. incognita RKN, thereby facilitating design of effective controls based on perturbation of nematode behavior—without producing harmful side effects. The knowledge from this study will promote genome editing strategies aimed at developing nematode resistance in tomato and other nematode-susceptible crop species in Israel and the United States.
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