Statistical Signal Processing for Neuroscience and Neurotechnology

Download or Read online Statistical Signal Processing for Neuroscience and Neurotechnology full in PDF, ePub and kindle. This book written by Karim G. Oweiss and published by Academic Press which was released on 22 September 2010 with total pages 433. We cannot guarantee that Statistical Signal Processing for Neuroscience and Neurotechnology book is available in the library, click Get Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like.

Statistical Signal Processing for Neuroscience and Neurotechnology
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Publisher : Academic Press
Release Date :
ISBN : 0080962963
Pages : 433 pages
Rating : 5/5 (1 users)
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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

Statistical Signal Processing for Neuroscience and Neurotechnology

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

GET BOOK!
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