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Adaptive filters --- Adaptive signal processing --- #TELE:SISTA --- Signal processing, Adaptive --- Signal processing --- Filters, Adaptive --- Electric filters
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Radar --- -Statistical communication theory --- -Stochastic information theory --- Information theory --- Probabilities --- Rate distortion theory --- Telecommunication --- Detectors --- Electronic systems --- Pulse techniques (Electronics) --- Radio --- Remote sensing --- Addresses, essays, lectures --- Radar. --- Statistical communication theory. --- -Addresses, essays, lectures --- Statistical communication theory --- Stochastic information theory
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Signal processing and neural computation have separately and significantly influenced many disciplines, but the cross-fertilization of the two fields has begun only recently. Research now shows that each has much to teach the other, as we see highly sophisticated kinds of signal processing and elaborate hierachical levels of neural computation performed side by side in the brain. In New Directions in Statistical Signal Processing, leading researchers from both signal processing and neural computation present new work that aims to promote interaction between the two disciplines. The book's 14 chapters, almost evenly divided between signal processing and neural computation, begin with the brain and move on to communication, signal processing, and learning systems. They examine such topics as how computational models help us understand the brain's information processing, how an intelligent machine could solve the "cocktail party problem" with "active audition" in a noisy environment, graphical and network structure modeling approaches, uncertainty in network communications, the geometric approach to blind signal processing, game-theoretic learning algorithms, and observable operator models (OOMs) as an alternative to hidden Markov models (HMMs).
Neural networks (Neurobiology) --- Neural networks (Computer science) --- Signal processing --- Neural computers. --- Statistical methods. --- Neural net computers --- Neural network computers --- Neurocomputers --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Biological neural networks --- Nets, Neural (Neurobiology) --- Networks, Neural (Neurobiology) --- Neural nets (Neurobiology) --- Electronic digital computers --- Natural computation --- Artificial intelligence --- Soft computing --- Cognitive neuroscience --- Neurobiology --- Neural circuitry --- COMPUTER SCIENCE/Machine Learning & Neural Networks --- NEUROSCIENCE/General --- Neural networks (Computer science). --- Neural networks (Neurobiology).
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The principles of cognition are becoming increasingly important in the areas of signal processing, communications and control. In this groundbreaking book, Simon Haykin, a pioneer in the field and an award-winning researcher, educator and author, sets out the fundamental ideas of cognitive dynamic systems. Weaving together the various branches of study involved, he demonstrates the power of cognitive information processing and highlights a range of future research directions. The book begins with a discussion of core topics such as cognition and sensing, dealing, in particular, with the perception-action cycle. Bayesian filtering, machine learning and dynamic programming are then addressed. Building on these foundations, there is detailed coverage of two important practical applications, cognitive radar and cognitive radio. Blending theory and practice, this insightful book is aimed at all graduate students and researchers looking for a thorough grounding in this fascinating field.
Self-organizing systems. --- Cognitive radio networks. --- Ad hoc cognitive networks (Wireless communication systems) --- Cognitive networks (Wireless communication systems) --- Ad hoc networks (Computer networks) --- Self-organizing systems --- Learning systems (Automatic control) --- Self-optimizing systems --- Cybernetics --- Intellect --- Learning ability --- Synergetics
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This collaborative work presents the results of over twenty years of pioneering research by Professor Simon Haykin and his colleagues, dealing with the use of adaptive radar signal processing to account for the nonstationary nature of the environment. These results have profound implications for defense-related signal processing and remote sensing. References are provided in each chapter guiding the reader to the original research on which this book is based.
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Electric networks, Active --- Electronic circuits --- Circuits électroniques
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