Signal processing for neuroscientists : introduction to the analysis of physiological signals /

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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 in mathematics, physics, and computer programming. The focus of this text is on what can be considered the golden trio i...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Drongelen, Wim van
Format: Electronic eBook
Language:Inglés
Published: Burlington, Mass. : Academic Press, �2007.
Subjects:
Signal processing > Digital techniques.
Neurosciences > Data processing.
Neurology > Mathematical models.
Physiology > Mathematical models.
Neurology > mathematical models
Neurosciences > data processing
Physiology > mathematical models
Traitement du signal > Techniques num�eriques.
Neurologie > Mod�eles math�ematiques.
Physiologie > Mod�eles math�ematiques.
Neurology > Mathematical models
Neurosciences > Data processing
Physiology > Mathematical models
Signal processing > Digital techniques
Neurowissenschaften
Signalverarbeitung
Online Access:Texto completo
Table of Contents:
  • Introduction
  • Data Acquisition
  • Noise
  • Signal Averaging
  • Real and Complex Fourier Series
  • Continuous, Discrete, and Fast Fourier Transform
  • Fourier Transform Applications
  • LTI systems, Convolution, Correlation, and Coherence
  • Laplace and z-Transform
  • Introduction to Filters: the RC-Circuit
  • Filters: Analysis
  • Filters: Specification, Bode plot, Nyquist plot
  • Filters: Digital Filters
  • Spike Train Analysis
  • Wavelet Analysis: Time Domain Properties
  • Wavelet Analysis: Frequency Domain Properties
  • Nonlinear Techniques.

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