Statistical Signal Processing for Neuroscience and Neurotechnology 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Statistical Signal Processing for Neuroscience and Neurotechnology

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Oweiss, Karim G. 編 作者
譯者
2010-8 出版日期
433 頁數
973.00元 價格
叢書系列
9780123750273 圖書編碼

Statistical Signal Processing for Neuroscience and Neurotechnology 在線電子書 圖書標籤: Neuroscience  工具教程  StatisticalAnalysis   


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發表於2024-07-02

Statistical Signal Processing for Neuroscience and Neurotechnology 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Statistical Signal Processing for Neuroscience and Neurotechnology 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Statistical Signal Processing for Neuroscience and Neurotechnology 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Statistical Signal Processing for Neuroscience and Neurotechnology 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Statistical Signal Processing for Neuroscience and Neurotechnology 在線電子書 圖書描述

This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems.

Written by experts in the field, the book is an ideal reference for researchers working in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physiology. By giving a broad overview of the basic principles, theories and methods, it is also an ideal introduction to statistical signal processing in neuroscience.

A comprehensive overview of the specific problems in neuroscience that require application of existing and development of new theory, techniques, and technology by the signal processing community

Contains state-of-the-art signal processing, information theory, and machine learning algorithms and techniques for neuroscience research

Presents quantitative and information-driven science that has been, or can be, applied to basic and translational neuroscience problems

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