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Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization - Hardcover
Synopsis
Stochastic resonance has been observed in many forms of systems, and has been hotly debated by scientists for over 30 years. Applications incorporating aspects of stochastic resonance may yet prove revolutionary in fields such as distributed sensor networks, nano-electronics, and biomedical prosthetics. Ideal for researchers in fields ranging from computational neuroscience through to electronic engineering, this book addresses in detail various theoretical aspects of stochastic quantization, in the context of the suprathreshold stochastic resonance effect. Initial chapters review stochastic resonance and outline some of the controversies and debates that have surrounded it. The book then discusses suprathreshold stochastic resonance, and its extension to more general models of stochastic signal quantization. Finally, it considers various constraints and tradeoffs in the performance of stochastic quantizers, before culminating with a chapter in the application of suprathreshold stochastic resonance to the design of cochlear implants.
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About the Author
Mark D. McDonnell is a Research Fellow at the Institute for Telecommunications Research, University of South Australia. Prior to this, he was at The University of Adelaide. His research interests are in the field of nonlinear signal processing, and bio-inspired engineering.
Nigel G. Stocks is a Professor in the School of Engineering at Warwick University. His research lies in stochastic nonlinear systems and biometrics.
Charles E. M. Pearce is Thomas Elder Professor of Mathematics at the School of Mathematics, University of Adelaide, and is editor of several journals.
Derek Abbott is a Professor in the School of Electrical and Electronic Engineering at the University of Adelaide. He has received several awards and has been editor or guest editor on a number of journals.
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Stochastic Resonance
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Stochastic Resonance : From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization
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Hardcover. Condition: new. Hardcover. Stochastic resonance has been observed in many forms of systems, and has been hotly debated by scientists for over 30 years. Applications incorporating aspects of stochastic resonance may yet prove revolutionary in fields such as distributed sensor networks, nano-electronics, and biomedical prosthetics. Ideal for researchers in fields ranging from computational neuroscience through to electronic engineering, this book addresses in detail various theoretical aspects of stochastic quantization, in the context of the suprathreshold stochastic resonance effect. Initial chapters review stochastic resonance and outline some of the controversies and debates that have surrounded it. The book then discusses suprathreshold stochastic resonance, and its extension to more general models of stochastic signal quantization. Finally, it considers various constraints and tradeoffs in the performance of stochastic quantizers, before culminating with a chapter in the application of suprathreshold stochastic resonance to the design of cochlear implants. Ideal for researchers in fields from computational neuroscience through to electronic engineering, this book addresses theoretical aspects of stochastic quantization, in the context of the suprathreshold stochastic resonance effect. Each chapter ends with a review of the main points, and open questions to guide researchers in finding new research directions. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521882620
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