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Готові списки джерел за темами / Adaptive signal transmission

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Добірка наукової літератури з теми "Adaptive signal transmission"

Автор: Grafiati

Опубліковано: 28 травня 2022

Оновлено: 31 липня 2025

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Статті в журналах з теми "Adaptive signal transmission"

1

Ye, Diwen. "Adaptive simulation of digital signal transmission." Applied and Computational Engineering 34, no. 1 (2024): 132–38. http://dx.doi.org/10.54254/2755-2721/34/20230312.

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High-order modulated signals have lower anti-interference ability than low-order modulated signals with the same modulation method and conditions. In situations with low signal-to-noise ratios, the quality of high-order signals can degrade significantly. An algorithm capable of intelligently switching the modulation order based on the current signal-to-noise ratio can effectively address this issue. This paper presents an adaptive signal transmission algorithm that intelligently selects different orders of Phase shift keying (PSK) modulation depending on varying signal noise ratio (SNR) condit

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2

Várkonyi-Kóczy, Annamária R. "Adaptive Anytime Data Transmission of Non-Stationary Signals." Journal of Advanced Computational Intelligence and Intelligent Informatics 14, no. 3 (2010): 240–46. http://dx.doi.org/10.20965/jaciii.2010.p0240.

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The never unseen information explosion in data transmission and communication called for new methods in signal coding and reconstruction. To minimize the channel capacity needed for the transmission urged researchers to find techniques which are flexible and can adapt to the available space and time. Anytime techniques are good candidates for such purposes. If the signal/data to be transmitted can be characterized as sequence of stationary intervals overcomplete signal representations can be applied. These techniques can be operated in an anytime manner as well, i.e., are excellent tools for h

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3

Itoh, N., and T. Tokumoto. "An adaptive equalizer for MUSE signal transmission." IEEE Transactions on Consumer Electronics 36, no. 3 (1990): 238–46. http://dx.doi.org/10.1109/30.103128.

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4

Wang, Zhiwen, Shouwang Sun, Yiwei Li, Zixiang Yue, and Youliang Ding. "Distributed Compressive Sensing for Wireless Signal Transmission in Structural Health Monitoring: An Adaptive Hierarchical Bayesian Model-Based Approach." Sensors 23, no. 12 (2023): 5661. http://dx.doi.org/10.3390/s23125661.

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Signal transmission plays an important role in the daily operation of structural health monitoring (SHM) systems. In wireless sensor networks, transmission loss often occurs and threatens reliable data delivery. The massive amount of data monitoring also leads to a high signal transmission and storage cost throughout the system’s service life. Compressive Sensing (CS) provides a novel perspective on alleviating these problems. Based on the sparsity of vibration signals in the frequency domain, CS can reconstruct a nearly complete signal from just a few measurements. This can improve the robust

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5

Sudaradjat, Djadjat, and Andi Rosano. "Adaptive Delta Modulation Simulation and Analysis Using MatLab." Paradigma - Jurnal Komputer dan Informatika 25, no. 2 (2023): 89–93. http://dx.doi.org/10.31294/p.v25i2.2151.

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    The system for converting analog signals to digital signals has become a necessity, considering that the tools currently used are digital computers. One of the analog-to-digital conversion systems is the delta modulation system. In delta modulation, only one bit is used to encode each change in the input signal, where a rising signal is encoded into a one bit and a falling signal is encoded into a zero bit. This can save the bit rate which, when transmitted over the transmission channel, can save the transmission bandwidth, and when stored in computer storage media,

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6

He, Jingang, Hang Yuan, Zhong Su, Bin Zhao, Zhe Kuang, and Pengfei Song. "Analysis of Information Transmission Characteristics Based on Adaptive Ground Electrode Current Field." Applied Sciences 13, no. 7 (2023): 4297. http://dx.doi.org/10.3390/app13074297.

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The information transmission mechanism of the ground electrode current field uses a very low-frequency electrical signal, which is applied to the two electrodes driven into the soil layer or the collapsed body of the tunnel to form a current field in the rock layer or soil layer. Signal detection is created via the strong penetration of wireless information transmission. This research focuses on various electromagnetic effects, such as polarization, magnetization, and the transmission of electromagnetic waves under the influence of different media, such as rock, sand, reinforced concrete, and

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7

Zou, Dong Lan. "Research on the Sensor Coarse Signal Processing Model Based on Adaptive Genetic Algorithm." Applied Mechanics and Materials 443 (October 2013): 342–45. http://dx.doi.org/10.4028/www.scientific.net/amm.443.342.

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Анотація:

With the rapid development of electronic information science and network transmission technology, the signal processing technology has been widely applied to various fields, which is the most important component of signal detection and transmission, and the key signal processing technology for processing sensor crude signals. Based on this, the experimental system of sensor coarse signal processing model is established, and in the experimental system, the transformer can carry out signal recognition for voltage and current, the use of PC microcontroller and embedded AD converter carries out an

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8

Mohamed, Ibrahim M. M., and Saif AL-Islam Ateeya AL-Salheen. "A survivable Point-to-Point (PTP) Wireless Transmission Based On Adaptive Coding and Modulation (ACM) Technique." Al-Mukhtar Journal of Engineering Research 7, no. 1 (2024): 12–19. http://dx.doi.org/10.54172/jszswq55.

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Wireless transmission can be affected by severe weather conditions such as heavy rain. Such a temporary weather condition leads to decrease the received power and thus reduce the signal-to-noise ratio, which degrades the overall performance. In some cases, in which a high bit rate is being transmitted where a specific amount of signal-to-noise ratio is required, the wireless transmission drops down completely. Adaptive Coding and Modulation technique could provide the feature of adaptation during transmission. In Adaptive Coding and Modulation, transmission parameters such as modulation scheme

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9

Song, Dingyu. "Feature Extraction Method of Transmission Signal in Electronic Communication Network Based on Symmetric Algorithm." Symmetry 11, no. 3 (2019): 410. http://dx.doi.org/10.3390/sym11030410.

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Because the existing methods extract the signal characteristics of electronic communication networks, there is a problem of poor extraction. In this paper, a feature extraction method based on symmetric algorithm for transmission signals in electronic communication networks is proposed. The transmission signal in the time domain is decomposed by three-layer wavelet packet decomposition through threshold denoising and data dimension reduction. The adaptive floating threshold is used as a threshold to quantify the wavelet coefficients of the signal, which can effectively remove noise while retai

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10

Cho, John Y. N. "Multi-PRI Signal Processing for the Terminal Doppler Weather Radar. Part II: Range–Velocity Ambiguity Mitigation." Journal of Atmospheric and Oceanic Technology 22, no. 10 (2005): 1507–19. http://dx.doi.org/10.1175/jtech1805.1.

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Abstract Multiple pulse-repetition interval (multi-PRI) transmission is part of an adaptive signal transmission and processing algorithm being developed to combat range–velocity (RV) ambiguity for the Terminal Doppler Weather Radar (TDWR). In Part I of this two-part paper, an adaptive clutter filtering procedure that yields low biases in the moments estimates was presented. In this part, algorithms for simultaneously providing range-overlay protection and velocity dealiasing using multi-PRI signal transmission and processing are presented. The effectiveness of the multi-PRI RV ambiguity mitiga

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Дисертації з теми "Adaptive signal transmission"

1

Moore, Philip John. "Adaptive digital distance protection." Thesis, City University London, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328244.

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2

Xie, Yongzhe. "On adaptive transmission, signal detection and channel estimation for multiple antenna systems." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/1058.

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This research concerns analysis of system capacity, development of adaptive transmission schemes with known channel state information at the transmitter (CSIT) and design of new signal detection and channel estimation schemes with low complexity in some multiple antenna systems. We first analyze the sum-rate capacity of the downlink of a cellular system with multiple transmit antennas and multiple receive antennas assuming perfect CSIT. We evaluate the ergodic sum-rate capacity and show how the sum-rate capacity increases as the number of users and the number of receive antennas increases. We

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3

Afifi, Mohammed Ahmed Melegy Mohammed. "TCP FTAT (Fast Transmit Adaptive Transmission): A New End-To- End Congestion Control Algorithm." Cleveland State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=csu1414689425.

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4

Žlebek, Lukáš. "Ekvalizace přenosového kanálu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-377143.

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Анотація:

This thesis describes a design of a simulation of transmission of digital information via communication system and equalization of communication function. The layout of communication channel with multiway transmission is described in following part. Next part is about hardware modulator which generate modulated signal which is transmitted via communication channel and after is sampled by A/D convertion card to computer, where is equalizated and demodulated in Simulink. In the last part of this thesis, there is proposal of the laboratory task and its sample solution.

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5

Onanchenko, Yevhen Leonidovych, Евгений Леонидович Онанченко, Євген Леонідович Онанченко та Р. А. Ткаченко. "Построение многоуровневых кодов при адаптивной передаче сигналов". Thesis, Изд-во СумДУ, 2008. http://essuir.sumdu.edu.ua/handle/123456789/4224.

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6

YE, Zi. "Traitement statistique de l'information et du signal pour l'internet des objets sous-marins." Thesis, Institut polytechnique de Paris, 2021. https://tel.archives-ouvertes.fr/tel-03179373.

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Анотація:

On assiste au développement des activités humaines liées au monde océanique, mais aucune norme n'a encore émergé pour l'Internet des objets appliqué aux objets autonomes marins. Bien qu'elle possède une bande passante limitée, l'onde acoustique est le seul moyen de communiquer sur des distances importantes et elle est donc utilisée par de nombreux systèmes sous-marins pour communiquer, naviguer ou déduire des informations sur l'environnement. Cela a conduit à une forte demande de réseaux sans fil qui nécessitent à la fois une bonne efficacité spectrale et énergétique avec la faible complexité

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7

Babel, Marie. "Compression d'images avec et sans perte par la méthode LAR (Locally Adaptive Resolution)." Phd thesis, INSA de Rennes, 2005. http://tel.archives-ouvertes.fr/tel-00131758.

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La diversité des standards actuels en compression d'images vise à la fois à proposer des schémas de codage efficaces et des fonctions de service adaptées à chaque type d'utilisation. Les travaux de cette thèse s'inscrivant dans ce contexte d'une telle compression, leur objectif majeur consiste en l'élaboration d'une méthode unifiée pour un codage avec et sans perte des images fixes et en séquences, intégrant des fonctionnalités avancées du type : scalabilité et représentation en régions hiérarchique, robustesse<br />aux erreurs. <br /><br />La méthode LAR (Locally Adaptive Resolution) de base

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8

Jirattigalachote, Amornrat. "Provisioning Strategies for Transparent Optical Networks Considering Transmission Quality, Security, and Energy Efficiency." Doctoral thesis, KTH, Optical Network Laboratory (ON Lab), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-94011.

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The continuous growth of traffic demand driven by the brisk increase in number of Internet users and emerging online services creates new challenges for communication networks. The latest advances in Wavelength Division Multiplexing (WDM) technology make it possible to build Transparent Optical Networks (TONs) which are expected to be able to satisfy this rapidly growing capacity demand. Moreover, with the ability of TONs to transparently carry the optical signal from source to destination, electronic processing of the tremendous amount of data can be avoided and optical-to-electrical-to-optic

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9

Sadeghi, Parastoo School of Electrical Engineering And Telecommunications UNSW. "Modelling, information capacity, and estimation of time-varying channels in mobile communication systems." Awarded by:University of New South Wales. School of Electrical Engineering And Telecommunications, 2006. http://handle.unsw.edu.au/1959.4/32310.

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In the first part of this thesis, the information capacity of time-varying fading channels is analysed using finite-state Markov channel (FSMC) models. Both fading channel amplitude and fading channel phase are modelled as finite-state Markov processes. The effect of the number of fading channel gain partitions on the capacity is studied (from 2 to 128 partitions). It is observed that the FSMC capacity is saturated when the number of fading channel gain partitions is larger than 4 to 8 times the number of channel input levels. The rapid FSMC capacity saturation with a small number of fading ch

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10

Lassami, Nacerredine. "Représentations parcimonieuses et analyse multidimensionnelle : méthodes aveugles et adaptatives." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2019. http://www.theses.fr/2019IMTA0139.

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Au cours de la dernière décennie, l’étude mathématique et statistique des représentations parcimonieuses de signaux et de leurs applications en traitement du signal audio, en traitement d’image, en vidéo et en séparation de sources a connu une activité intensive. Cependant, l'exploitation de la parcimonie dans des contextes de traitement multidimensionnel comme les communications numériques reste largement ouverte. Au même temps, les méthodes aveugles semblent être la réponse à énormément de problèmes rencontrés récemment par la communauté du traitement du signal et des communications numériqu

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Книги з теми "Adaptive signal transmission"

1

Mohamed, Ibnkahla, ed. Adaptive signal processing in wireless communications. Taylor & Francis, 2008.

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2

Kurit͡syn, S. A. Metody adaptivnoĭ obrabotki signalov peredachi dannykh. "Radio i svi͡azʹ", 1988.

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3

Macchi, Odile. Adaptive processing: The least mean squares approach with applications in transmission. John Wiley & Sons, 1995.

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4

Ernst, Thomas. Adaptive Detektoren für die Datenübertragung über rekursive Kanäle. Hartung-Gorre, 1996.

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5

Ibnkahla, Mohamed. Adaptive Signal Processing in Wireless Communications. Taylor & Francis Group, 2017.

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6

Ibnkahla, Mohamed. Adaptive Signal Processing in Wireless Communications. Taylor & Francis Group, 2017.

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7

Ibnkahla, Mohamed. Adaptive Signal Processing in Wireless Communications. Taylor & Francis Group, 2017.

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8

Ibnkahla, Mohamed. Adaptive Signal Processing in Wireless Communications. Taylor & Francis Group, 2009.

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9

Adaptive Rf Frontends For Handheld Applications. Springer, 2010.

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10

Arthur H.M. van Roermund, Reza Mahmoudi, and Andre van Bezooijen. Adaptive RF Front-Ends for Hand-held Applications. Springer, 2014.

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Частини книг з теми "Adaptive signal transmission"

1

Priya, L., A. Kandaswamy, R. P. Ajeesh, and V. Vignesh. "Adaptive Equalization Algorithm for Electrocardiogram Signal Transmission." In Advances in Intelligent Systems and Computing. Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-10-0251-9_22.

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2

Fradkov, Alexander L., and Boris Andrievsky. "Adaptive Synchronization of Time-Varying Non-linear Systems with Application to Signal Transmission." In Complex Systems: Spanning Control and Computational Cybernetics: Foundations. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99776-2_17.

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3

Bar-Ness, Y. "The Bootstrap Decorrelating Algorithm: A Promising Tool for Adaptive Separation of Multi-User CDMA Signals." In Information Technology: Transmission, Processing and Storage. Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-1013-2_6.

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4

Alouini, Mohamed-Slim, Young-Chai Ko, Hong-Chuan Yang, and Haewoon Nam. "Joint Adaptive Transmission and Switched Diversity Reception." In Adaptive Signal Processing in Wireless Communications. CRC Press, 2008. http://dx.doi.org/10.1201/9781420046021.ch6.

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5

Goeckel, Dennis. "Adaptive Coded Modulation for Transmission over Fading Channels." In Adaptive Signal Processing in Wireless Communications. CRC Press, 2008. http://dx.doi.org/10.1201/9781420046021.ch3.

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6

Saramaki, Tapio, and Robert Bregovic. "Multirate Systems and Filterbanks." In Multirate Systems. IGI Global, 2002. http://dx.doi.org/10.4018/978-1-930708-30-3.ch002.

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During the last two decades, multirate filter banks have found various applications in many different areas, such as speech coding, scrambling, adaptive signal processing, image compression, signal and image processing applications as well as transmission of several signals through the same channel (Malvar, 1992a; Vaidyanathan, 1993; Vetterli and Kovacevic, 1995; Fliege, 1994; Misiti, Misiti, Oppenheim and Poggi, 1996). The main idea of using multirate filter banks is the ability of the system to separate in the frequency domain the signal under consideration into two or more signals or to com

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7

"Adaptive Coded Modulation for Transmission over Fading Channels." In Signal Processing for Mobile Communications Handbook. CRC Press, 2004. http://dx.doi.org/10.1201/9780203496510-10.

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8

Platonov, Anatoliy. "Perfect Signal Transmission Using Adaptive Modulation and Feedback." In Modulation in Electronics and Telecommunications [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.90516.

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9

M'Saad, M., and I. Hejda. "ON THE ADAPTIVE CONTROL OF A FLEXIBLE TRANSMISSION SYSTEM." In Adaptive Systems in Control and Signal Processing 1992. Elsevier, 1993. http://dx.doi.org/10.1016/b978-0-08-041717-2.50054-9.

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10

Newport, T., J. I. Piggott, S. G. Williams, and S. M. Henderson. "ON-LINE SIMULATION FOR CONTROL OF BRITISH GAS TRANSMISSION NETWORK." In Adaptive Systems in Control and Signal Processing 1989. Elsevier, 1990. http://dx.doi.org/10.1016/b978-0-08-035727-0.50094-9.

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Тези доповідей конференцій з теми "Adaptive signal transmission"

1

Beppu, Shohei, and Daiki Soma. "Long-Haul MIMO Transmission With a Coupled Core MCF." In Signal Processing in Photonic Communications. Optica Publishing Group, 2024. https://doi.org/10.1364/sppcom.2024.spth2g.1.

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We review recent progress of long-haul MIMO transmission experiments with a coupled core MCF.<br/>Issues of real-time MIMO DSP implementation such as DSP complexity and adaptive tracking are also discussed. Full-text article not available; see video presentation

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2

Jiang, Peiwen, Chao-Kai Wen, Xiao Li, and Shi Jin. "Adaptive Semantic Image Transmission Using Generative Foundation Model." In 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2024. http://dx.doi.org/10.1109/mlsp58920.2024.10734720.

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3

Ren, Anhu, Yang Chen, and Yufei Li. "Research on Adaptive Bitrate Algorithm for UAV Video Transmission." In 2024 9th International Conference on Intelligent Computing and Signal Processing (ICSP). IEEE, 2024. http://dx.doi.org/10.1109/icsp62122.2024.10743672.

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4

Fang, Jian, Yaowen Li, Wataru Kohno, and Ting Wang. "Multi-Event Forward-Transmission Vibration Sensing with Dual-Sensor Adaptive Beamforming." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.th3f.5.

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We present adaptive beamforming techniques to forward-transmission multi-event vibration sensing in environments with interference and jamming. Experimental validation over 100km fiber demonstrates significant improvements on signal reconstruction, noise reduction, and interference rejection from other locations.

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5

Swain, Smaranika, Christian Koefoed Schou, Metodi P. Yankov, Michael Galili, and Leif Katsuo Oxenløwe. "Rate-adaptive Long-haul Transmission with Semiconductor Optical Amplifiers for In-line Amplification." In CLEO: Science and Innovations. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_si.2024.sf3k.4.

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We investigate off-the-shelf semiconductor optical amplifiers for long-haul transmission and find error-free performance after 2400 km of 7×WDM, polarization division multiplexed 32-Gbaud probabilistically-constellation-shaped 16 and 64-QAM rate-adaptive signal in a recirculating loop system.

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6

Wu, Liyan, Yanlu Huang, Kai Jin, Shangya Han, Kun Xu, and Yanni Ou. "Enhanced Support Vector Machine Based Signal Recovery in Bandwidth-Limited 50-100 Gbit/s Flexible DS-PON." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.w1f.3.

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We proposed an adaptive signal recovery algorithm with reduced complexity based on the SVM principle for flexible downstream PON. Experimental results indicate a record-high link power budget of 24 dB for bandwidth-limited 100 Gbit/s direct-detection transmission@1E-3.

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7

Itoh and Tokumoto. "An Adaptive Equalizer for Muse Signal Transmission." In IEEE International Conference on Consumer Electronics. IEEE, 1990. http://dx.doi.org/10.1109/icce.1990.665894.

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8

Khormuji, Majid Nasiri. "Adaptive interlaced space-time transmission." In 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2015. http://dx.doi.org/10.1109/spawc.2015.7227012.

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9

Zheng, Shuo, Min Yang, Guofeng Yan, et al. "Optimized Low-Complexity Data-Aided Adaptive Equalizer for Short-Reach Coherent Transmission." In Signal Processing in Photonic Communications. Optica Publishing Group, 2023. http://dx.doi.org/10.1364/sppcom.2023.sptu1e.4.

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Анотація:

An optimized low-complexity data-aided adaptive equalizer is proposed and demonstrated in a 25Gbaud DP-16QAM back-to-back intradyne system. Compared with conventional adaptive equalizer, complexity reduction of ~51% is achieved with a similar performance.

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Gho, Gwang-Hyun, and Joseph M. Kahn. "Rate-Adaptive Coding for Optical Fiber Transmission Systems." In Signal Processing in Photonic Communications. OSA, 2010. http://dx.doi.org/10.1364/sppcom.2010.sptha3.

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