Author:
Edition: 1
Publisher: Academic Press
Binding: Hardcover
ISBN: 012375027X
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. Medical books Statistical Signal Processing for Neuroscience and Neurotechnology. Medical books Statistical Signal Processing For Neuroscience And Neurotechnology Oweiss, Karim. format hardback language english publication year 22 09 2010 subject computing it subject 2 computing professional programming title statistical signal processing for neuroscience and neurotechnology author oweiss karim g publisher academic pr publication date aug 04 2010 pages 433 binding hardcover edition 1 st dimensions 7 25 wx 9 25 hx 1 00 d isbn 012375027 x subject technology engineering electrical brand new hardcover all orders get full access to our online status tracking service allowi
Download link for Statistical Signal Processing For Neuroscience And Neurotechnology By Karim
format hardback language english publication year 22 09 2010 subject computing it subject 2 computing professional programming title statistical signal processing for neuroscience and neurotechnology author oweiss karim g publisher academic pr publication date aug 04 2010 pages 433 binding hardcover edition 1 st dimensions 7 25 wx 9 25 hx 1 00 d isbn 012375027 x subject technology engineering electrical brand new hardcover all orders get full access to our online status tracking service allowi
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 engineerin
"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 engineeri
"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 engineeri
Medical Book Statistical Signal Processing for Neuroscience and Neurotechnology
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
