文档介绍：2
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Table of Contents
Cover image
Front-matter
Copyright
Acknowledgements
Preface to the Second Edition
Chapter 1. The Big Picture
. Biological Systems
. Biosignals
. Noise
. Signal Properties—Basic Measurements
. Summary
Chapter 2. Basic Concepts in Signal Processing
. Basic Signals—The Sinusoidal Waveform
. More Basic Signals—Periodic, Aperiodic, and
Transient
. Two-Dimensional Signals—Images
. parisons and Transformations
. Summary
Chapter 3. Fourier Transform
. Time- and Frequency-Domain Signal
Representations
. Fourier Series Analysis
. Frequency Representation
. Complex Representation
. The Continuous Fourier Transform
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. Discrete Data: The Discrete Fourier Series and
Discrete Fourier Transform
. MATLAB Implementation of the Discrete Fourier
Transform (DFT)
. Summary
Chapter 4. The Fourier Transform and Power Spectrum
. Data Acquisition and Storage
. Power Spectrum
. Spectral Averaging
. Stationarity and Time-Frequency Analysis
. Signal Bandwidth
. Summary
Chapter 5. Linear Systems in the Frequency Domain
. Linear Signal Analysis—An Overview
. The Response of System Elements to Sinusoidal
Inputs—Phasor Analysis
. The Transfer Function
. Transfer Function Spectral Plots—The Bode Plot
. Bode bining Multiple Elements
. The Transfer Function and the Fourier Transform
. Summary
Chapter 6. Linear Systems Analysis in plex
Frequency Domain
. The Laplace Transform
. Laplace Analysis—The Laplace Transfer Function
. Nonzero Initial Conditions—Initial and Final Value
Theorems
. The Laplace Domain and the Frequency Domain
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. Summary
Chapter 7. Linear Systems Analysis in the Time Domain
. Linear Systems
. The Convolution Integral
. The Relationship between Convolution and
Frequency Domain Analysis
. Convolution in the Frequency Domain