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Dissertations / Theses on the topic 'Adaptive Processing'
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1
Yang, Ho. "Partially adaptive space-time processing." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/13028.
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Seliktar, Yaron. "Space-time adaptive monopulse processing." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/13075.
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Jahanchahi, Cyrus. "Quaternion valued adaptive signal processing." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/24165.
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Recent developments in sensor technology, human centered computing and robotics have brought to light new classes of multidimensional data which are naturally represented as three- or four-dimensional vector-valued processes. Such signals are readily modeled as real vectors in R3 and R4, however, it has become apparent that there are advantages in processing such data in division algebras - the quaternion domain. The progress in the statistics of quaternion variable, particularly augmented statistics and widely linear modeling, has opened up a new front of research in vector sensor modeling, however, there are several key problems that need to be addressed in order to exploit the full power of quaternions in statistical signal processing. The principal problem lies in the lack of a mathematical framework, such as the CR-calculus in the complex domain, for the differentiation of non-holomorphic functions. Since most functions (including typical cost functions) in the quaternion domain are non-holomorphic, as defined by the Cauchy-Riemann-Fueter (CRF) condition, this presents a severe obstacle to solving optimisation problems and developing adaptive filtering algorithms in the quaternion domain. To this end, we develop the HR-calculus, an extension of the CR-calculus, allowing the differentiation of non-holomorphic functions. This is followed by the introduction of the I-gradient, enabling for generic extensions of complex valued algorithms to be derived. Using this unified framework we introduce the quaternion least mean square (QLMS), quaternion recursive least squares (QRLS), quaternion affine projection algorithm (QAPA) and quaternion Kalman filter. These estimators are made optimal for the processing of noncircular data, by proposing widely linear extensions of their standard versions. Convergence and steady state properties of these adaptive estimators are analysed and validated experimentally via simulations on both synthetic and real world signals.
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Beck, Rainer Johannes. "Adaptive optics for laser processing." Thesis, Heriot-Watt University, 2011. http://hdl.handle.net/10399/2462.
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The overall aim of the work presented in this thesis is to develop an adaptive optics (AO) technique for application to laser-based manufacturing processes. The Gaussian beam shape typically coming from a laser is not always ideal for laser machining. Wavefront modulators, such as deformable mirrors (DM) and liquid crystal spatial light modulators (SLM), enable the generation of a variety of beam shapes and furthermore offer the ability to alter the beam shape during the actual process. The benefits of modifying the Gaussian beam shape by means of a deformable mirror towards a square flat top profile for nanosecond laser marking and towards a ring shape intensity distribution for millisecond laser drilling are presented. Limitations of the beam shaping capabilities of DM are discussed. The application of a spatial light modulator to nanosecond laser micromachining is demonstrated for the first time. Heat sinking is introduced to increase the power handling capabilities. Controllable complex beam shapes can be generated with sufficient intensity for direct laser marking. Conventional SLM devices suffer from flickering and hence a process synchronisation is introduced to compensate for its impact on the laser machining result. For alternative SLM devices this novel technique can be beneficial when fast changes of the beam shape during the laser machining are required. The dynamic nature of SLMs is utilised to improve the marking quality by reducing the inherent speckle distribution of the generated beam shape. In addition, adaptive feedback on the intensity distribution can further improve the quality of the laser machining. In general, beam shaping by means of AO devices enables an increased flexibility and an improved process control, and thus has a significant potential to be used in laser materials processing.
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Testoni, Nicola <1980>. "Adaptive multiscale biological signal processing." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/1122/.
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Biological processes are very complex mechanisms, most
of them being accompanied by or manifested as signals
that reflect their essential characteristics and qualities. The
development of diagnostic techniques based on signal and
image acquisition from the human body is commonly retained
as one of the propelling factors in the advancements
in medicine and biosciences recorded in the recent past.
It is a fact that the instruments used for biological signal
and image recording, like any other acquisition system,
are affected by non-idealities which, by different degrees,
negatively impact on the accuracy of the recording. This
work discusses how it is possible to attenuate, and ideally
to remove, these effects, with a particular attention toward
ultrasound imaging and extracellular recordings.
Original algorithms developed during the Ph.D. research
activity will be examined and compared to ones in literature
tackling the same problems; results will be drawn on the
base of comparative tests on both synthetic and in-vivo
acquisitions, evaluating standard metrics in the respective
field of application. All the developed algorithms share an
adaptive approach to signal analysis, meaning that their
behavior is not dependent only on designer choices, but
driven by input signal characteristics too.
Performance comparisons following the state of the art
concerning image quality assessment, contrast gain estimation
and resolution gain quantification as well as visual
inspection highlighted very good results featured by the
proposed ultrasound image deconvolution and restoring
algorithms: axial resolution up to 5 times better than algorithms
in literature are possible. Concerning extracellular
recordings, the results of the proposed denoising technique
compared to other signal processing algorithms pointed
out an improvement of the state of the art of almost 4 dB.
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Shah, Ijteba-ul-Hasnain. "Constrained adaptive natural gradient algorithms for adaptive array processing." Thesis, University of Strathclyde, 2011. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=15646.
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eurviriyanukul, kwanchai. "adaptive query processing in pipelined plans." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492914.
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This thesis presents an approach to enable changes to partially evaluated pipelined Query-Execution Plans (QEPs) at run-time to recover from optimisation mistakes in cardinality estimation according to the absences of accurate statistics. These mistakes may influence an optimiser to select in-efficient QEPs.
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Lopes, Cassio Guimaraes. "Distributed cooperative strategies for adaptive processing." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1581123071&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
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Stoian, Razvan. "Adaptive techniques for ultrafast laser material processing." Habilitation à diriger des recherches, Université Jean Monnet - Saint-Etienne, 2008. http://tel.archives-ouvertes.fr/tel-00352662.
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Le besoin d'une très grande précision lors du traitement des matériaux par laser a fortement encouragé le développement des études de l'effet des impulsions ultra brèves pour la structuration des matériaux à une échelle micro et nano métrique. Une diffusion d'énergie minimale et une forte non linéarité de l'interaction permet un important confinement énergétique à des échelles les plus petites possibles. La possibilité d'introduire des changements de phases rapides et même de créer de nouveaux états de matière ayant des propriétés optimisées et des fonctions améliorées donne aux impulsions ultra brèves de sérieux arguments pour être utilisées dans des dispositifs très précis de transformation et de structuration des matériaux. L'étude de ces mécanismes de structuration et, en particulier, de leurs caractéristiques dynamiques, est une clé pour l'optimisation de l'interaction laser-matière suivant de nombreux critères utiles pour les procédés laser : efficacité, précision, qualité. Ce mémoire synthétise les travaux de l'auteur sur l'étude statique et dynamique du dépôt d'énergie ultra rapide, avec application aux procédés laser. La connaissance de la réponse dynamique des matériaux après irradiation laser ultra brève montre que les temps de relaxation pilotent l'interaction lumière-matière. Il est alors possible d'adapter l'énergie déposée à la réponse du matériau en utilisant les toutes récentes techniques de mise en forme spatio temporelle de faisceaux. Un couplage optimal de l'énergie donne la possibilité d'orienter la réponse du matériau vers un résultat recherché, offrant une grande flexibilité de contrôle des procédés et, sans doute, la première étape du développement de procédés « intelligents ».
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Östlund, Nils. "Adaptive signal processing of surface electromyogram signals." Doctoral thesis, Umeå universitet, Strålningsvetenskaper, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-743.
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Electromyography is the study of muscle function through the electrical signals from the muscles. In surface electromyography the electrical signal is detected on the skin. The signal arises from ion exchanges across the muscle fibres’ membranes. The ion exchange in a motor unit, which is the smallest unit of excitation, produces a waveform that is called an action potential (AP). When a sustained contraction is performed the motor units involved in the contraction will repeatedly produce APs, which result in AP trains. A surface electromyogram (EMG) signal consists of the superposition of many AP trains generated by a large number of active motor units. The aim of this dissertation was to introduce and evaluate new methods for analysis of surface EMG signals. An important aspect is to consider where to place the electrodes during the recording so that the electrodes are not located over the zone where the neuromuscular junctions are located. A method that could estimate the location of this zone was presented in one study. The mean frequency of the EMG signal is often used to estimate muscle fatigue. For signals with low signal-to-noise ratio it is important to limit the integration intervals in the mean frequency calculations. Therefore, a method that improved the maximum frequency estimation was introduced and evaluated in comparison with existing methods. The main methodological work in this dissertation was concentrated on finding single motor unit AP trains from EMG signals recorded with several channels. In two studies single motor unit AP trains were enhanced by using filters that maximised the kurtosis of the output. The first of these studies used a spatial filter, and in the second study the technique was expanded to include filtration in time. The introduction of time filtration resulted in improved performance, and when the method was evaluated in comparison with other methods that use spatial and/or temporal filtration, it gave the best performance among them. In the last study of this dissertation this technique was used to compare AP firing rates and conduction velocities in fibromyalgia patients as compared with a control group of healthy subjects. In conclusion, this dissertation has resulted in new methods that improve the analysis of EMG signals, and as a consequence the methods can simplify physiological research projects.
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Tjia, Andrew Hung Yao. "Adaptive pipelined work processing for GPS trajectories." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43288.
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Adaptive pipelined work processing is a system paradigm that optimally processes trajectories created by GPS-enabled devices. Systems that execute GPS trajectory processing are often constrained at the client side by limitations of mobile devices such as processing power, energy usage, and network. The server must deal with non-uniform processing workloads and flash crowds generated by surges in popularity. We demonstrate that adaptive processing is a solution to these problems by building a trajectory processing system that uses adaptivity to respond to changing workloads and network conditions, and is fault tolerant. This benefits application designers, who design operations on data instead of manual system optimization and resource management. We evaluate our method by processing a dataset of snow sports trajectories and show that our method is extensible to other operators and other kinds of data.
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Yakoubian, Jeffrey Scott. "Adaptive histogram equalization for mammographic image processing." Thesis, Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/16387.
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Van, Nort Douglas. "Modular and adaptive control of sound processing." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=86734.
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This dissertation presents research into the creation of systems for the control of sound synthesis and processing. The focus differs from much of the work related to digital musical instrument design, which has rightly concentrated on the physicality of the instrument and interface: sensor design, choice of controller, feedback to performer and so on. Often times a particular choice of sound processing is made, and the resultant parameters from the physical interface are conditioned and mapped to the available sound parameters in an exploratory fashion. The main goal of the work presented here is to demonstrate the importance of the space that lies between physical interface design and the choice of sound manipulation algorithm, and to present a new framework for instrument design that strongly considers this essential part of the design process. In particular, this research takes the viewpoint that instrument designs should be considered in a musical control context, and that both control and sound dynamics must be considered in tandem.In order to achieve this holistic approach, the work presented in this dissertation assumes complementary points of view. Instrument design is first seen as a function of musical context, focusing on electroacoustic music and leading to a view on gesture that relates perceived musical intent to the dynamics of an instrumental system. The important design concept of mapping is then discussed from a theoretical and conceptual point of view, relating perceptual, systems and mathematically-oriented ways of examining the subject. This theoretical framework gives rise to a mapping design space, functional analysis of pertinent existing literature, implementations of mapping tools, instrumental control designs and several perceptual studies that explore the influence of mapping structure. Each of these reflect a high-level approach in which control structures are imposed on top of a high-dimensional space of control and sound synthesis parameters. In this view, desired gestural dynamics and sonic response are achieved through modular construction of mapping layers that are themselves subject to parametric control. Complementing this view of the design process, the work concludes with an approach in which the creation of gestural control/sound dynamics are considered in the low-level of the underlying sound model. The result is an adaptive system that is specialized to noise-based transformations that are particularly relevant in an electroacoustic music context.
Taken together, these different approaches to design and evaluation result in a unified framework for creation of an instrumental system. The key point is that this framework addresses the influence that mapping structure and control dynamics have on the perceived feel of the instrument. Each of the results illustrate this using either top-down or bottom-up approaches that consider musical control context, thereby pointing to the greater potential for refined sonic articulation that can be had by combining them in the design process.
La présente dissertation expose une recherche sur la création de systèmes pour le contrôle de la synthèse et du traitement des sons. Les travaux portant sur le design d'instruments de musique digitaux se concentrent le plus souvent, à juste titre, sur la dimension physique de l'instrument et de l'interface: le design de senseurs, le choix de contrôleurs, l'interaction avec le musicien, etc. Le plus souvent, on fait d'abord un choix particulier de traitement des sons, pour ensuite prendre, à tâtons, au fil d'explorations, les décisions quant à quels paramètres de l'interface physique contrôleront quels paramètres sonores. Prenant le contre-pied de cette tendance, le but principal du présent travail est de démontrer l'importance de l'espace qui se situe entre le design d'interface physique et le choix d'algorithmes de manipulation sonore, et de présenter un nouveau cadre pour le design d'instruments qui prend mieux en considération cette part essentielle du processus de design. Plus précisément, cette recherche adopte le point de vue selon lequel le design d'instruments devrait partir d'un contexte de contrôle musical, et que le contrôle et les dynamiques sonores devraient être considérées en tandem.
Pour réaliser cette approche holiste, les différents travaux présentés dans cette dissertation adoptent des points de vue complémentaires. À partir du cas de la musique électroacoustique, le design d'instrument est d'abord vu comme fonction du contexte musical. Cette idée permettra une compréhension des gestes qui lie l'intention musicale perçue aux dynamiques d'un système instrumental. Le concept important de "mapping" est ensuite examiné d'un point de vue théorique et conceptuel, en mettant en relation des approches perceptuelles, systémiques et mathématiques de ce sujet. Seront élaborés à partir de ce cadre un espace de design de mapping, une analyse fonctionnelle de la littérature pertinente, l'implémentation d'outils de mapping, des designs de contrôle d'instruments, et plusieurs études perceptuelles qui explorent l'influence de la structure de mapping. Chacune de ces études reflète une perspective de haut niveau dans laquelle les structures de contrôle sont superposées à un espace de contrôle et de paramètres de synthèse sonore de hautes dimensions. Selon cette perspective, les dynamiques gestuelles et les réponses sonores désirées sont obtenues à partir d'une construction modulaire de couches de mapping qui sont elles-mêmes sujettes à un contrôle paramétrique. En complément à cette conception du processus de design, ce travail est conclu avec une approche selon laquelle la création de contrôles gestuels et de dynamiques sonores sont considérés au bas niveau du modèle sonore sous-jacent. En résulte un système adaptatif spécialisé pour les transformations basées sur le bruit, particulièrement pertinentes dans le contexte de la musique électroacoustique.
Ensemble, ces différentes approches au design et à l'évaluation résultent en un cadre unifié pour la création d'un système instrumental. Le point essentiel est que ce cadre répond à l'influence des structures de mapping et des dynamiques de contrôle sur la sensation perçue de l'instrument. Chacun des résultats illustrent cela par une approche de haut en bas ou de bas en haut qui considère le contexte de contrôle musical, illustrant ainsi le plus grand potentiel d'articulation sonore qui peut être obtenu en les combinant dans le processus de design.
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Wyrsch, Sigisbert. "Adaptive subband signal processing for hearing instruments /." Zürich, 2000. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=13577.
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Östlund, Nils. "Adaptive signal processing of surface electromyogram signals /." Umeå : Department of Radiation Sciences, Umeå University, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-743.
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Gause, Jõrn. "Reconfigurable computing for shape-adaptive video processing." Thesis, Imperial College London, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.397539.
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Pazaitis, Dimitrios I. "Performance improvement in adaptive signal processing algorithms." Thesis, Imperial College London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368771.
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Yaminysharif, Mohammad. "Accelerated gradient techniques and adaptive signal processing." Thesis, University of Strathclyde, 1987. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21496.
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The main objective of this thesis is to demonstrate the application of the accelerated gradient techniques to various fields of adaptive signal processing. A variety of adaptive algorithms based on the accelerated gradient techniques are developed and analysed in terms of the convergence speed, computational complexity and numerical stability. Extensive simulation results are presented to demonstrate the performance of the proposed algorithms when applied to the fields of adaptive noise cancelling, broad band adaptive array processing and narrow band adaptive spectral estimation. These results are very encouraging in terms of convergence speed and numerical stability of the developed algorithms. The proposed algorithms appear to be attractive alternatives to the conventional recursive least squares algorithms. In addition, the thesis includes a review chapter in which the conventional approaches (ranging from the least mean squares algorithm to the computationally demanding recursive least squares algorithm) to three types of minimization problems (namely unconstrained, linearly constrained and quadratically constrained) are discussed.
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Esparcia, Alcázar Anna Isabel. "Genetic programming for adaptive digital signal processing." Thesis, University of Glasgow, 1998. http://theses.gla.ac.uk/4780/.
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Hadhoud, M. M. "The adaptive LMS alogrithm in image processing." Thesis, University of Southampton, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380631.
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Badawi, Mohammad. "Adaptive Coarse-grain Reconfigurable Protocol Processing Architecture." Doctoral thesis, KTH, Elektronik och Inbyggda System, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-194400.
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Digital signal processors and their variants have provided significant benefit to efficient implementation of Physical Layer (PHY) of Open Systems Interconnection (OSI) model’s seven-layer protocol processing stack compared to the general purpose processors. Protocol processors promise to provide a similar advantage for implementing higher layers in the (OSI)'s seven-layer model. This thesis addresses the problem of designing customizable coarse-grain reconfigurable protocol processing fabrics as a solution to achieving high performance and computational efficiency. A key requirement that this thesis addresses is the ability to not only adapt to varying applications and standards, and different modes in each standard but also to time varying load and performance demands while maintaining quality of service.This thesis presents a tile-based multicore protocol processing architecture that can be customized at design time to meet the requirements of the target application. The architecture can then be reconfigured at boot time and tuned to suit the desired use-case. This architecture includes a packet-oriented memory system that has deterministic access time and access energy costs, and hence can be accurately dimensioned to fulfill the requirements of the desired use-case. Moreover, to maintain quality of service as predicted, while minimizing the use of energy and resources, this architecture encompasses an elastic management scheme that controls run-time configuration to deploy processing resources based on use-case and traffic demands.To evaluate the architecture presented in this thesis, different case studies were conducted while quantitative and qualitative metrics were used for assessment. Energy-delay product, energy efficiency, area efficiency and throughput show the improvements that were achieved using the processing cores and the memory of the presented architecture, compared with other solutions. Furthermore, the results show the reduction in latency and power consumption required to evaluate controlling states when using the elastic management scheme. The elasticity of the scheme also resulted in reducing the total area required for the controllers that serve multiple processing cores in comparison with other designs. Finally, the results validate the ability of the presented architecture to support quality of service without misutilizing available energy during a real-life case study of a multi-participant Voice Over Internet Protocol (VOIP) call.QC 20161028
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Herrmann, Felix J., and Eric Verschuur. "Curvelet imaging and processing : adaptive multiple elimination." Canadian Society of Exploration Geophysicists, 2004. http://hdl.handle.net/2429/612.
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Predictive multiple suppression methods consist of two main steps: a prediction step, in which multiples are predicted from the seismic data, and a subtraction step, in which the predicted multiples are matched with the true multiples in the data. The last step appears crucial in practice: an incorrect adaptive subtraction method will cause multiples to be sub-optimally subtracted or primaries being distorted, or both. Therefore, we propose a new domain for separation of primaries and multiples via the Curvelet transform. This transform maps the data into almost orthogonal localized events with a directional and spatial-temporal component. The multiples are suppressed by thresholding the input data at those Curvelet components where the predicted multiples have large amplitudes. In this way the more traditional filtering of predicted multiples to fit the input data is avoided. An initial field data example shows a considerable improvement in multiple suppression.
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Kanagasabapathy, Shri. "Distributed adaptive signal processing for frequency estimation." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/49783.
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It is widely recognised that future smart grids will heavily rely upon intelligent communication and signal processing as enabling technologies for their operation. Traditional tools for power system analysis, which have been built from a circuit theory perspective, are a good match for balanced system conditions. However, the unprecedented changes that are imposed by smart grid requirements, are pushing the limits of these old paradigms. To this end, we provide new signal processing perspectives to address some fundamental operations in power systems such as frequency estimation, regulation and fault detection. Firstly, motivated by our finding that any excursion from nominal power system conditions results in a degree of non-circularity in the measured variables, we cast the frequency estimation problem into a distributed estimation framework for noncircular complex random variables. Next, we derive the required next generation widely linear, frequency estimators which incorporate the so-called augmented data statistics and cater for the noncircularity and a widely linear nature of system functions. Uniquely, we also show that by virtue of augmented complex statistics, it is possible to treat frequency tracking and fault detection in a unified way. To address the ever shortening time-scales in future frequency regulation tasks, the developed distributed widely linear frequency estimators are equipped with the ability to compensate for the fewer available temporal voltage data by exploiting spatial diversity in wide area measurements. This contribution is further supported by new physically meaningful theoretical results on the statistical behavior of distributed adaptive filters. Our approach avoids the current restrictive assumptions routinely employed to simplify the analysis by making use of the collaborative learning strategies of distributed agents. The efficacy of the proposed distributed frequency estimators over standard strictly linear and stand-alone algorithms is illustrated in case studies over synthetic and real-world three-phase measurements. An overarching theme in this thesis is the elucidation of underlying commonalities between different methodologies employed in classical power engineering and signal processing. By revisiting fundamental power system ideas within the framework of augmented complex statistics, we provide a physically meaningful signal processing perspective of three-phase transforms and reveal their intimate connections with spatial discrete Fourier transform (DFT), optimal dimensionality reduction and frequency demodulation techniques. Moreover, under the widely linear framework, we also show that the two most widely used frequency estimators in the power grid are in fact special cases of frequency demodulation techniques. Finally, revisiting classic estimation problems in power engineering through the lens of non-circular complex estimation has made it possible to develop a new self-stabilising adaptive three-phase transformation which enables algorithms designed for balanced operating conditions to be straightforwardly implemented in a variety of real-world unbalanced operating conditions. This thesis therefore aims to help bridge the gap between signal processing and power communities by providing power system designers with advanced estimation algorithms and modern physically meaningful interpretations of key power engineering paradigms in order to match the dynamic and decentralised nature of the smart grid.
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Hermand, Jean-Pierre. "Environmentally-Adaptive Signal Processing in Ocean Acoustics." Doctoral thesis, Universite Libre de Bruxelles, 1993. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/212734.
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Cetin, Ediz. "Unsupervised adaptive signal processing techniques for wireless receivers." Thesis, University of Westminster, 2002. https://westminsterresearch.westminster.ac.uk/item/93q55/unsupervised-adaptive-signal-processing-techniques-for-wireless-receivers.
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Minelly, Shona. "Signal processing of His Purkinje System electrocardiograms." Thesis, University of Kent, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267381.
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Owens, Peter. "Advanced signal processing of high resolution electrocardiograms." Thesis, University of Sussex, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361399.
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練偉森 and Wai-sum Lin. "Adaptive parallel rendering." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31221415.
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Lin, Wai-sum. "Adaptive parallel rendering /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20868236.
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Schoenig, Gregory Neumann. "Contributions to Robust Adaptive Signal Processing with Application to Space-Time Adaptive Radar." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/26972.
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Classical adaptive signal processors typically utilize assumptions in their derivation. The
presence of adequate Gaussian and independent and identically distributed (i.i.d.) input
data are central among such assumptions. However, classical processors have a tendency
to suffer a degradation in performance when assumptions like these are violated. Worse
yet, such degradation is not guaranteed to be proportional to the level of deviation from
the assumptions. This dissertation proposes new signal processing algorithms based on
aspects of modern robustness theory, including methods to enable adaptivity of presently
non-adaptive robust approaches. The contributions presented are the result of research
performed jointly in two disciplines, namely robustness theory and adaptive signal process-
ing. This joint consideration of robustness and adaptivity enables improved performance in
assumption-violating scenarios â scenarios in which classical adaptive signal processors fail.
Three contributions are central to this dissertation. First, a new adaptive diagnostic tool for
high-dimension data is developed and shown robust in problematic contamination. Second,
a robust data-pre-whitening method is presented based on the new diagnostic tool. Finally,
a new suppression-based robust estimator is developed for use with complex-valued adaptive
signal processing data. To exercise the proposals and compare their performance to state-
of-the art methods, data sets commonly used in statistics as well as Space-Time Adaptive
Processing (STAP) radar data, both real and simulated, are processed, and performance is
subsequently computed and displayed. The new algorithms are shown to outperform their
state-of-the-art counterparts from both a signal-to-interference plus noise ratio (SINR) conver-
gence rate and target detection perspective.Ph. D.
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Famorzadeh, Shahram. "BEEHIVE : an adaptive, distributed, embedded signal processing environment." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/14803.
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Dugger, Jeffery Don. "Adaptive Analog VLSI Signal Processing and Neural Networks." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/5294.
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Research presented in this thesis provides
a substantial leap from the study of interesting
device physics to fully adaptive analog networks
and lays a solid foundation for future development
of large-scale, compact, low-power adaptive parallel
analog computation systems.
The investigation described here started with
observation of this potential learning capability
and led to the first derivation and characterization of
the floating-gate pFET correlation learning rule.
Starting with two synapses sharing the same error signal,
we progressed from phase correlation experiments
through correlation experiments involving harmonically related sinusoids,
culminating in learning the Fourier series coefficients
of a square wave cite{kn:Dugger2000}.
Extending these earlier two-input node experiments to the general case
of correlated inputs required dealing with
weight decay naturally exhibited by the learning rule.
We introduced a source-follower floating-gate synapse
as an improvement over our earlier source-degenerated floating-gate synapse
in terms of relative weight decay cite{kn:Dugger2004}.
A larger network of source-follower floating-gate synapses was fabricated
and an FPGA-controlled testboard was designed and built.
This more sophisticated system provides an excellent
framework for exploring applications to multi-input, multi-node
adaptive filtering applications.
Adaptive channel equalization provided
a practical test-case illustrating the use
of these adaptive systems in solving real-world problems.
The same system could easily be applied to noise and echo cancellation
in communication systems and system identification tasks in
optimal control problems.
We envision the commercialization of these adaptive analog VLSI
systems as practical products within a couple of years.
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Uysal, Halil. "Jammer Cancelation By Using Space-time Adaptive Processing." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613800/index.pdf.
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Space-Time Adaptive Processing (STAP) has been widely used in spaceborne and airborne
radar platforms in order to track ground moving targets. Jammer is an hostile electronic
countermeasure that is being used to degrade radar detection and tracking performance. STAP
adapts radar&rsquos antenna radiating pattern in order to reduce jamming effectiveness. Jamming power that enters the system is decreased with respect to the adapted radiation pattern. In this thesis, a generic STAP radar model is developed and implemented in simulation environment. The implemented radar model demonstrates that, STAP can be used in order to suppress wideband jammer effectiveness together with ground clutter effects.
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Biswas, Mainak. "Content adaptive video processing algorithms for digital TV /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2005. http://wwwlib.umi.com/cr/ucsd/fullcit?p3189792.
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Ma, Huanfeng. "Adaptive analysis and processing of structured multilingual documents." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3318.
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Thesis (Ph. D.) -- University of Maryland, College Park, 2006.Thesis research directed by: Electrical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Shen, Liang. "Region-based adaptive image processing techniques for mammography." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0011/NQ34701.pdf.
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Schaaf, Marc [Verfasser]. "Situation-Aware Adaptive Event Stream Processing / Marc Schaaf." München : Verlag Dr. Hut, 2017. http://d-nb.info/1149579684/34.
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Price, Emma J. "The use of residuals for adaptive signal processing." Thesis, University of Oxford, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433334.
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Maji, Suman Kumar. "Multiscale methods in signal processing for adaptive optics." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2013. http://tel.archives-ouvertes.fr/tel-00909085.
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In this thesis, we introduce a new approach to wavefront phase reconstruction in Adaptive Optics (AO) from the low-resolution gradient measurements provided by a wavefront sensor, using a non-linear approach derived from the Microcanonical Multiscale Formalism (MMF). MMF comes from established concepts in statistical physics, it is naturally suited to the study of multiscale properties of complex natural signals, mainly due to the precise numerical estimate of geometrically localized critical exponents, called the singularity exponents. These exponents quantify the degree of predictability, locally, at each point of the signal domain, and they provide information on the dynamics of the associated system. We show that multiresolution analysis carried out on the singularity exponents of a high-resolution turbulent phase (obtained by model or from data) allows a propagation along the scales of the gradients in low-resolution (obtained from the wavefront sensor), to a higher resolution. We compare our results with those obtained by linear approaches, which allows us to offer an innovative approach to wavefront phase reconstruction in Adaptive Optics.
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Vartak, Aniket. "BIOSIGNAL PROCESSING CHALLENGES IN EMOTION RECOGNITIONFOR ADAPTIVE LEARNING." Doctoral diss., University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2667.
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User-centered computer based learning is an emerging field of interdisciplinary research. Research in diverse areas such as psychology, computer science, neuroscience and signal processing is making contributions the promise to take this field to the next level. Learning systems built using contributions from these fields could be used in actual training and education instead of just laboratory proof-of-concept. One of the important advances in this research is the detection and assessment of the cognitive and emotional state of the learner using such systems. This capability moves development beyond the use of traditional user performance metrics to include system intelligence measures that are based on current neuroscience theories. These advances are of paramount importance in the success and wide spread use of learning systems that are automated and intelligent. Emotion is considered an important aspect of how learning occurs, and yet estimating it and making adaptive adjustments are not part of most learning systems. In this research we focus on one specific aspect of constructing an adaptive and intelligent learning system, that is, estimation of the emotion of the learner as he/she is using the automated training system. The challenge starts with the definition of the emotion and the utility of it in human life. The next challenge is to measure the co-varying factors of the emotions in a non-invasive way, and find consistent features from these measures that are valid across wide population. In this research we use four physiological sensors that are non-invasive, and establish a methodology of utilizing the data from these sensors using different signal processing tools. A validated set of visual stimuli used worldwide in the research of emotion and attention, called International Affective Picture System (IAPS), is used. A dataset is collected from the sensors in an experiment designed to elicit emotions from these validated visual stimuli. We describe a novel wavelet method to calculate hemispheric asymmetry metric using electroencephalography data. This method is tested against typically used power spectral density method. We show overall improvement in accuracy in classifying specific emotions using the novel method. We also show distinctions between different discrete emotions from the autonomic nervous system activity using electrocardiography, electrodermal activity and pupil diameter changes. Findings from different features from these sensors are used to give guidelines to use each of the individual sensors in the adaptive learning environment.Ph.D.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Electrical Engineering PhD
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Chan, M. K. "Adaptive signal processing algorithms for non-Gaussian signals." Thesis, Queen's University Belfast, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269023.
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Coleman, Sonya. "Scalable operators for adaptive processing of digital images." Thesis, University of Ulster, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270447.
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Peterson, Patrick Mangan. "Adaptive array processing for multiple microphone hearing aids." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/14466.
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Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1989.Includes bibliographical references (leaves 116-125).
by Patrick M. Peterson.
Sc.D.
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Ludwig, Jeffrey Thomas 1968. "Low power digital filtering using adaptive approximate processing." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/42766.
Full textAbstract:
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.Includes bibliographical references (p. 167-173).
by Jeffrey Thomas Ludwig.
Ph.D.
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Yarham, Carson, Daniel Trad, and Felix J. Herrmann. "Curvelet processing and imaging: adaptive ground roll removal." Canadian Society of Exploration Geophysicists, 2004. http://hdl.handle.net/2429/519.
Full textAbstract:
In this paper we present examples of ground roll attenuation for synthetic and real data gathers by using Contourlet and Curvelet transforms. These non-separable wavelet transforms are locoalized both (x,t)- and (k,f)-domains and allow for adaptive seperation of signal and ground roll. Both linear and non-linear filtering are discussed using the unique properties of these basis that allow for simultaneous localization in the both domains. Eventhough, the linear filtering techniques are encouraging the true added value of these basis-function techniques becomes apparent when we use these decompositions to adaptively substract modeled ground roll from data using a non-linear thesholding procedure. We show real and synthetic examples and the results suggest that these directional-selective basis functions provide a usefull tool for the removal of coherent noise such as ground roll
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Javidi, Soroush. "Adaptive signal processing algorithms for noncircular complex data." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/6328.
Full textAbstract:
The complex domain provides a natural processing framework for a large class of signals encountered in communications, radar, biomedical engineering and renewable energy. Statistical signal processing in C has traditionally been viewed as a straightforward extension of the corresponding algorithms in the real domain R, however, recent developments in augmented complex statistics show that, in general, this leads to under-modelling. This direct treatment of complex-valued signals has led to advances in so called widely linear modelling and the introduction of a generalised framework for the differentiability of both analytic and non-analytic complex and quaternion functions. In this thesis, supervised and blind complex adaptive algorithms capable of processing the generality of complex and quaternion signals (both circular and noncircular) in both noise-free and noisy environments are developed; their usefulness in real-world applications is demonstrated through case studies. The focus of this thesis is on the use of augmented statistics and widely linear modelling. The standard complex least mean square (CLMS) algorithm is extended to perform optimally for the generality of complex-valued signals, and is shown to outperform the CLMS algorithm. Next, extraction of latent complex-valued signals from large mixtures is addressed. This is achieved by developing several classes of complex blind source extraction algorithms based on fundamental signal properties such as smoothness, predictability and degree of Gaussianity, with the analysis of the existence and uniqueness of the solutions also provided. These algorithms are shown to facilitate real-time applications, such as those in brain computer interfacing (BCI). Due to their modified cost functions and the widely linear mixing model, this class of algorithms perform well in both noise-free and noisy environments. Next, based on a widely linear quaternion model, the FastICA algorithm is extended to the quaternion domain to provide separation of the generality of quaternion signals. The enhanced performances of the widely linear algorithms are illustrated in renewable energy and biomedical applications, in particular, for the prediction of wind profiles and extraction of artifacts from EEG recordings.
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Lynch, Michael Richard. "Adaptive techniques in signal processing and connectionist models." Thesis, University of Cambridge, 1990. https://www.repository.cam.ac.uk/handle/1810/244884.
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This thesis covers the development of a series of new methods and the application of adaptive filter theory which are combined to produce a generalised adaptive filter system which may be used to perform such tasks as pattern recognition. Firstly, the relevant background adaptive filter theory is discussed in Chapter 1 and methods and results which are important to the rest of the thesis are derived or referenced. Chapter 2 of this thesis covers the development of a new adaptive algorithm which is designed to give faster convergence than the LMS algorithm but unlike the Recursive Least Squares family of algorithms it does not require storage of a matrix with n2 elements, where n is the number of filter taps. In Chapter 3 a new extension of the LMS adaptive notch filter is derived and applied which gives an adaptive notch filter the ability to lock and track signals of varying pitch without sacrificing notch depth. This application of the LMS filter is of interest as it demonstrates a time varying filter solution to a stationary problem. The LMS filter is next extended to the multidimensional case which allows the application of LMS filters to image processing. The multidimensional filter is then applied to the problem of image registration and this new application of the LMS filter is shown to have significant advantages over current image registration methods. A consideration of the multidimensional LMS filter as a template matcher and pattern recogniser is given. In Chapter 5 a brief review of statistical pattern recognition is given, and in Chapter 6 a review of relevant connectionist models. In Chapter 7 the generalised adaptive filter is derived. This is an adaptive filter with the ability to model non-linear input-output relationships. The Volterra functional analysis of non-linear systems is given and this is combined with adaptive filter methods to give a generalised non-linear adaptive digital filter. This filter is then considered as a linear adaptive filter operating in a non-linearly extended vector space. This new filter is shown to have desirable properties as a pattern recognition system. The performance and properties of the new filter is compared with current connectionist models and results demonstrated in Chapter 8. In Chapter 9 further mathematical analysis of the networks leads to suggested methods to greatly reduce network complexity for a given problem by choosing suitable pattern classification indices and allowing it to define its own internal structure. In Chapter 10 robustness of the network to imperfections in its implementation is considered. Chapter 11 finishes the thesis with some conclusions and suggestions for future work.
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Figueiredo, Marco, and Terry Graessle. "APPLICATION OF ADAPTIVE COMPUTING IN SATELLITE TELEMETRY PROCESSING." International Foundation for Telemetering, 1998. http://hdl.handle.net/10150/609214.
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International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, CaliforniaThe advent of adaptive computers built from re-programmable logic devices presents a potential solution for meeting the data processing requirements of the new era of Earth monitoring satellites to be launched by the National Aeronautics and Space Administration (NASA) Earth Science Enterprise project. The Earth Observing System (EOS) AM-1 spacecraft, the first satellite of this new era, will produce in only six months as much data as NASA has collected to this date. As a consequence, the Earth Science Data and Information System (ESDIS) project is building high performance and highly costly parallel processing systems to address the real-time data production requirements. Together with the high performance front-end ingest and level 0 processing microcircuits developed in-house at the Goddard Space Flight Center’s (GSFC) Data Systems Technology Division (DSTD), adaptive computers present a possible alternative to traditional CPU-based systems to increase the performance while reducing the cost of satellite telemetry processing systems. The Adaptive Scientific Data Processing (ASDP) project has been investigating the use of adaptive computers in the implementation of space borne scientific data processing systems. An order of magnitude processing speed acceleration over high-end workstations has been demonstrated for both level 1 and level 3 algorithms. This paper discusses the use of adaptive computing in satellite telemetry processing systems, level 1 and beyond. Primarily, it describes the efforts and presents the results of two prototypes developed by the ASDP project. The limitations of the current state of the technology are discussed and the expected improvements to facilitate the adoption of adaptive computers are presented. Finally, future work of the ASDP project is discussed.
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Zhou, Dong. "JECho - An efficient, customizable, adaptive distributed event system." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/9180.
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Fabrizio, Giuseppe Aureliano. "Space-time characterisation and adaptive processing of ionospherically-propagated HF signals /." Title page, table of contents and abstract only, 2000. http://web4.library.adelaide.edu.au/theses/09PH/09phf129.pdf.
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