Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization

Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization

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Product Details

ISBN-13: 9781107411326
Publisher: Cambridge University Press
Publication date: 10/25/2012
Edition description: New Edition
Pages: 446
Product dimensions: 6.69(w) x 9.61(h) x 0.91(d)

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.

Table of Contents

Preface; 1. Introduction and motivation; 2. Stochastic resonance: its definitions, history and debates; 3. Stochastic quantization; 4. Suprathreshold stochastic resonance: encoding; 5. Suprathreshold stochastic resonance: large N encoding; 6. Suprathreshold stochastic resonance: decoding; 7. Suprathreshold stochastic resonance: large N decoding; 8. Optimal stochastic quantization; 9. SSR, neural coding, and performance tradeoffs; 10. Stochastic resonance in the auditory system; 11. The future of stochastic resonance and suprathreshold stochastic resonance; Appendices; References; Index.

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