Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals | 
 enlarge | Author: Wim Van Drongelen
Publisher: Academic Press
Category: Book
List Price: $83.95
Buy New: $67.16
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Avg. Customer Rating:  1 reviews
Sales Rank: 278166
Media: Hardcover
Number Of Items: 1
Pages: 320
Shipping Weight (lbs): 1.5
Dimensions (in): 9.1 x 5.9 x 0.9
ISBN: 0123708672
Dewey Decimal Number: 572
EAN: 9780123708670
ASIN: 0123708672
Publication Date: December 27, 2006
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Product Description
Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the 'golden trio' in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLAB.
Multiple color illustrations are integrated in the text
Includes an introduction to biomedical signals, noise characteristics, and recording techniques
Basics and background for more advanced topics can be found in extensive notes and appendices
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| Customer Reviews:
Useful. May 17, 2008
1 out of 1 found this review helpful
This book contains useful exercises and demonstrations of MATLAB code that are worth looking at. Overall, I think it covers the major topics and does a decent job fulfilling that purpose.
Having said that, however, the language of the book is not reader-friendly. It's not to say that we aren't dealing with advanced material here, because it wasn't intended for the beginner. Don't expect that you'll just be able to pick up the text and read it without any prior knowledge.
I would have given this book an additional star, however, there are some errors of calculation in the beginning exercises. If you are the advanced reader, you'll pick up on these--someone other than myself actually picked up on these, so don't just take the calculation and their end result to be the answer--as always, be cautious when you read.
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