国外电子与电气工程技术丛书 数字信号处理精要 英文版

数字信号处理精要（英文版）
作　者： [美]理查德G. 莱昂斯 著
出版时间： 2017

内容简介
　　本书着重介绍数字信号的产生、采集、筛选和分析，阐明如何理解和应用信号谱和频率，以及数字信号频谱的傅里叶变换和数字滤波器的工程应用。后用丰富的实例阐述数字信号处理在当前智能手机、平板电脑、数字电视、GPS、游戏等现代电子设备中的应用。

Contents
1 What Is Digital Signal Processing? 1
The Phantom Technology 1
What Is a Signal? 2
Analog and Digital Signals 3
Digital Signal Processing 3
What You Should Remember 5
2 Analog Signals 7
What Is an Analog Signal? 7
A Temperature Analog Signal 7
An Audio Analog Signal 8
An Electrical Analog Signal 10
What Is an Electrical Voltage? 10
Sinusoidal Wave Voltages 13
Other Useful Periodic Analog Signals 19
A Human Speech Analog Signal 21
What You Should Remember 22
3 Frequency and the Spectra of Analog Signals 25
Frequency 25
Cycles per Second 26
Radians per Second 28
The Concept of Spectrum 29
Analog Signal Spectra 30
A Composite-Signal Spectral Example 32
Harmonics 34
Harmonic Distortion 37
Bandwidth 39
The Other Bandwidth 42
What You Should Remember 42
4 Digital Signals and How They Are Generated 43
What Is a Digital Signal? 43
The Notion of Digital 43
Digital Signals: Definition #1 44
Digital Signals: Definition #2 45
How Digital Signals Are Generated 48
Digital Signal Generation by Observation 48
Digital Signal Generation by Software 48
Digital Signal Generation by Sampling an Analog Signal 49
The Sample Rate of a Digital Signal 52
A Speech Digital Signal 53
An Example of Digital Signal Processing 55
Another Example of Digital Signal Processing 57
Two Important Aspects of Sampling Analog Signals 61
Sample Rate Restriction 62
Analog-to-Digital Converter Output Numbers 62
Sample Rate Conversion 63
Decimation 63
Interpolation 63
What You Should Remember 66
5 Sampling and the Spectra of Digital Signals 67
Analog Signal Spectra—A Quick Review 67
How Sampling Affects the Spectra of Digital Signals 71
The Mischief in Sampling Oscillating Quantities 73
Sampling Analog Sine Wave Voltages 76
Why We Care about Aliasing 80
The Spectrum of a Digital Sine Wave Signal 82
The Spectrum of a Digital Voice Signal 85
The Spectrum of a Digital Music Signal 86
Anti-Aliasing Filters 89
Analog-to-Digital Converter Output Numbers 93
What You Should Remember 94
6 How We Compute Digital Signal Spectra 95
Computing Digital Spectra 95
The Discrete Fourier Transform 96
The Fast Fourier Transform 96
A Spectral Computation Example 97
The Computations 97
What the Computations Mean 103
A Spectral Analysis Example 103
What You Should Remember 106
7 Wavelets 107
The Fast Fourier Transform (FFT)—A Quick Review 107
The Continuous Wavelet Transform (CWT) 109
Undecimated or Redundant Discrete Wavelet Transforms (UDWT/RDWT) 114
Conventional (Decimated) Discrete Wavelet Transforms (DWT) 114
What You Should Remember 117
8 Digital Filters 119
Analog Filtering 119
Generic Filter Types 121
Digital Filtering 122
What You Should Remember 126
9 Binary Numbers 127
Number Systems 128
Decimal Numbers, a Base-10 Number System 128
A Base-4 Number System 129
Binary Numbers, a Base-2 Number System 130
Using Binary Numbers at Home 132
Binary Data 133
Why Use Binary Numbers? 134
Digital Hardware Is Easy to Build 134
Binary Data Is Resistant to Degradation 135
Binary Numbers and Analog-to-Digital Converters 136
What You Should Remember 139
A Scientific Notation 141
B Decibels 145
Decibels Used to Describe Sound Power Values 146
Decibels Used to Measure Earthquakes 147
Decibels Used to Describe Signal Amplitudes 149
Decibels Used to Describe Filters 153
C AM and FM Radio Signals 155
AM Radio Signals 155
FM Radio Signals 157
Comparing AM and FM Radio 159
D Binary Number Formats 161
Unsigned Binary Number Format 161
Sign-Magnitude Binary Number Format 162
Two’s Complement Binary Number Format 163
Offset Binary Number Format 165
Alternate Binary Number Notation 166O
ctal Binary Number Notation 166
Hexadecimal Binary Number Notation 166
Glossary 169