Cover for Signal Processing for Neuroscientists

Signal Processing for Neuroscientists

Introduction to the Analysis of Physiological Signals

Book2007

Author:

Wim van Drongelen

Signal Processing for Neuroscientists

Introduction to the Analysis of Physiological Signals

Book2007

 

Cover for Signal Processing for Neuroscientists

Author:

Wim van Drongelen

About the book

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Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background ... read full description

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  2. Book chapterNo access

    1 - Introduction

    Pages 1-13

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    2 - Data Acquisition

    Pages 15-33

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    3 - Noise

    Pages 35-53

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    4 - Signal Averaging

    Pages 55-70

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    5 - Real and Complex Fourier Series

    Pages 71-90

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    6 - Continuous, Discrete, and Fast Fourier Transform

    Pages 91-105

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    7 - Fourier Transform Applications

    Pages 107-126

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    8 - LTI Systems, Convolution, Correlation, and Coherence

    Pages 127-149

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    9 - Laplace and z-Transform

    Pages 151-168

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    10 - Introduction to Filters: The RC Circuit

    Pages 169-175

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    11 - Filters: Analysis

    Pages 177-188

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    12 - Filters: Specification, Bode Plot, and Nyquist Plot

    Pages 189-203

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    13 - Filters: Digital Filters

    Pages 205-217

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    14 - Spike Train Analysis

    Pages 219-243

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    15 - Wavelet Analysis: Time Domain Properties

    Pages 245-263

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    16 - Wavelet Analysis: Frequency Domain Properties

    Pages 265-277

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    17 - Nonlinear Techniques

    Pages 279-295

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    References

    Pages 297-300

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    Index

    Pages 301-308

About the book

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®.

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®.

Key Features

  • 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
  • A Companion Website hosts the MATLAB scripts and several data files:  http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670
  • 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
  • A Companion Website hosts the MATLAB scripts and several data files:  http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670

Details

ISBN

978-0-12-370867-0

Language

English

Published

2007

Copyright

Copyright © 2007 Elsevier Inc. All rights reserved

Imprint

Academic Press

Authors

Wim van Drongelen