Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization

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McDonnell, Mark D./ Stocks, Nigel G./ Pearce, Charles E. M./ Abbott, Derek 作者
译者
2008-10 出版日期
448 页数
$ 197.75 价格
丛书系列
9780521882620 图书编码

Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization 在线电子书 图书标签: 神经科学  数学  Stochastic  Resonance  Quantization   


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Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization 在线电子书 图书描述

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 2008 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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