扫一扫
关注中图网
官方微博
本类五星书更多>
-
>
中医基础理论
-
>
高校军事课教程
-
>
思想道德与法治(2021年版)
-
>
毛泽东思想和中国特色社会主义理论体系概论(2021年版)
-
>
中医内科学·全国中医药行业高等教育“十四五”规划教材
-
>
中医诊断学--新世纪第五版
-
>
中药学·全国中医药行业高等教育“十四五”规划教材
数字信号处理-(第二版)-(英文版) 版权信息
- ISBN：9787121309205
- 条形码：9787121309205 ; 978-7-121-30920-5
- 装帧：一般胶版纸
- 册数：暂无
- 重量：暂无
- 所属分类：>>
数字信号处理-(第二版)-(英文版) 本书特色
本书在Richard G. Lyons所著Understanding Digital Signal Processing, Second Edition的基础上进行了改编，针对通信类学校本科教学大纲，删除了教学中一般不涉及的内容，调整了章节顺序，并增加了z反变换、滤波器结构、线性相位FIR滤波器和其结构、模拟滤波器简介的内容，使教内容材更加完整。全书在概述了离散序列和系统的定义和实例之后，详细讨论了离散系统的特性、信号的离散化和离散卷积、z变换、离散时间傅里叶变换和离散傅里叶变换、快速傅里叶变换、数字滤波器结构、以及有限和无限脉冲响应数字滤波器的设计等基本概念和基本理论。书中涉及的数学知识以简明形式给出，深入浅出，易于理解。本书每章都增加了例题、习题和MATLAB例题，以便加强对每章内容的理解和掌握。
数字信号处理-(第二版)-(英文版) 内容简介
本书在Richard G. Lyons所著Understanding Digital Signal Processing, Second Edition的基础上进行了改编，针对通信类学校本科教学大纲，删除了教学中一般不涉及的内容，调整了章节顺序，并增加了z反变换、滤波器结构、线性相位FIR滤波器和其结构、模拟滤波器简介的内容，使教内容材更加完整。全书在概述了离散序列和系统的定义和实例之后，详细讨论了离散系统的特性、信号的离散化和离散卷积、z变换、离散时间傅里叶变换和离散傅里叶变换、快速傅里叶变换、数字滤波器结构、以及有限和无限脉冲响应数字滤波器的设计等基本概念和基本理论。书中涉及的数学知识以简明形式给出，深入浅出，易于理解。本书每章都增加了例题、习题和MATLAB例题，以便加强对每章内容的理解和掌握。
数字信号处理-(第二版)-(英文版) 目录
Chapter 1 Discrete Sequences and Systems 1
1.1 Discrete Sequences and Their Notation 1
1.1.1 Discrete-time Signals 2
1.1.2 Frequently Used Discrete Sequences 7
1.2 Signal Amplitude, Magnitude, Power 9
1.3 Signal Processing Operational Symbols 10
1.4 Introduction to Discrete Linear Time-Invariant Systems 12
1.5 Discrete Linear Systems 12
1.5.1 Example of a Linear System 12
1.5.2 Example of a Nonlinear System 14
1.6 Time-Invariant Systems 16
1.6.1 Example of a Time-Invariant System 16
1.7 The Commutative Property of Linear Time-Invariant Systems 17
1.8 The Causality Property of Linear Time-Invariant Systems 18
1.9 The Stability Property of Linear Time-Invariant Systems 18
1.10 Analyzing Linear Time-Invariant Systems 19
1.11 Problems 20
1.12 MATLAB Applications 22
1.12.1 Applications 22
1.12.2 Examples 23
1.12.3 Exercises 24
Chapter 2 Periodic Sampling 25
2.1 Aliasing: Signal Ambiguity in the Frequency Domain 25
2.2 Sampling Low-Pass Signals 29
2.3 A Generic Description of Discrete Convolution 32
2.3.1 Discrete Convolution in the Time Domain 33
2.3.2 The Convolution Theorem 36
2.3.3 Applying the Convolution Theorem 39
2.4 Problems 42
2.5 Matlab Applications 43
2.5.1 Applications 43
2.5.2 Examples 44
2.5.3 Exercises 46
Chapter 3 Z-Transform 47
3.1 The z-Transform 47
3.1.1 Poles and Zeros on the z-Plane and Stability 49
3.1.2 The ROC of z-Transform 50
3.1.3 The Properties of z-Transform 53
3.2 The Inverse z-Transform 55
3.2.1 General Expression of Inverse z-Transform 55
3.2.2 Inverse z-Transform by Partial-Fraction Expansion 58
3.3 Problems 61
3.4 MATLAB Applications 63
3.4.1 Applications 63
3.4.2 Examples 64
3.4.3 Exercises 67
Chapter 4 The Discrete Fourier Transform 68
4.1 Interpreting the DFT 69
4.2 Understanding the DFT Equation 71
4.2.1 DFT Example 1 74
4.3 DFT Properties 81
4.3.1 DFT Symmetry 81
4.3.2 DFT Linearity 83
4.3.3 DFT Magnitudes 83
4.3.4 DFT Frequency Axis 84
4.3.5 DFT Shifting Theorem 85
4.4 Inverse DFT 87
4.5 DFT Leakage 88
4.6 Windows 94
4.7 DFT Resolution, Zero Padding, and Frequency-Domain Sampling 101
4.8 Frequency Response 104
4.9 Problems 106
4.10 Matlab Applications 107
4.10.1 Applications 107
4.10.2 Examples 108
4.10.3 Exercises 111
Chapter 5 The Fast Fourier Transform 112
5.1 Relationship of the FFT to the DFT 112
5.2 FFT Alogrithm 113
5.3 Derivation of the Radix-2 FFT Algorithm 114
5.4 FFT Input/Output Data Index Bit Reversal 120
5.5 Radix-2 FFT Butterfly Structures 121
5.6 Efficiently Performing the FFT of Real Sequences 127
5.6.1 Performing Two N-Point Real FFTs 127
5.6.2 Performing a 2N-Point Real FFT 133
5.7 Discrete Convolution using FFT 137
5.7.1 Overlap-added 138
5.7.2 Overlap-saved 138
5.8 IFFT Algorithm 140
5.9 Problems 143
5.10 Matlab Applications 144
5.10.1 Applications 144
5.10.2 Examples 144
5.10.3 Exercises 146
Chapter 6 Filter Structure 147
6.1 Block Structure 147
6.2 Mason and Transpose Theorem 149
6.2.1 Mason?s Rule 149
6.2.2 Transpose Theorem 150
6.3 Example of Filter Structures 151
6.3.1 IIR Filter Structure 151
6.3.2 FIR Direct Structure 158
6.3.3 FIR Cascade Structure 158
6.4 Problems 159
6.5 Matlab Applications 162
6.5.1 Applications 162
6.5.2 Examples 163
6.5.3 Exercises 167
Chapter 7 Finite Impulse Response Filters 168
7.1 An Introduction to Finite Impulse Response (FIR) Filters 169
7.2 Properties of FIR Filters 172
7.2.1 Convolution in FIR Filters 172
7.2.2 Linear phase FIR Filter 181
7.2.3 Linear Phase FIR Filter Structure 188
7.2.4 FIR Filter Poles and Zeros 194
7.3 Low-Pass FIR Filter Design 196
7.3.1 Window Design Method 197
7.3.2 Windows Used in FIR Filter Design 204
7.3.3 Examples to Design Linear Phase Low-Pass FIR Filter 210
7.4 Examples to Design Other Types Linear Phase FIR Filter 215
7.5 Problems 220
7.6 Matlab Exercises 223
7.6.1 Applications 223
7.6.2 Examples 223
7.6.3 Exercises 224
Chapter 8 Infinite Impulse Response Filters 226
8.1 An Introduction to Infinite Impulse Response Filters 227
8.2 The Laplace Transform 229
8.2.1 Poles and Zeros on the s-Plane and Stability 234
8.3 Analog Low-Pass Filters 239
8.3.1 Introduction 240
8.3.2 Approximation of analog filter characteristics 240
8.3.3 Butterworth Approximation 242
8.3.4 Chebyshev Approximation 247
8.4 Impulse Invariance IIR Filter Design Method 253
8.4.1 Impulse Invariance Design Method 1 Example 258
8.4.2 Impulse Invariance Design Method 2 Example 260
8.5 Bilinear Transform IIR Filter Design Method 266
8.5.1 Bilinear Transform Design Example 271
8.6 Low-Pass IIR Filter Design 274
8.6.1 Example of Low-Pass IIR Digital Filter Design 274
8.6.2 a Brief Comparison of IIR and FIR Filters 277
8.7 Other Types IIR Filter Design 278
8.8 Problems 284
8.9 Matlab Exercises 286
8.9.1 Functions of IIR Design 286
8.9.2 Examples 287
8.9.3 Exercises 288
1.1 Discrete Sequences and Their Notation 1
1.1.1 Discrete-time Signals 2
1.1.2 Frequently Used Discrete Sequences 7
1.2 Signal Amplitude, Magnitude, Power 9
1.3 Signal Processing Operational Symbols 10
1.4 Introduction to Discrete Linear Time-Invariant Systems 12
1.5 Discrete Linear Systems 12
1.5.1 Example of a Linear System 12
1.5.2 Example of a Nonlinear System 14
1.6 Time-Invariant Systems 16
1.6.1 Example of a Time-Invariant System 16
1.7 The Commutative Property of Linear Time-Invariant Systems 17
1.8 The Causality Property of Linear Time-Invariant Systems 18
1.9 The Stability Property of Linear Time-Invariant Systems 18
1.10 Analyzing Linear Time-Invariant Systems 19
1.11 Problems 20
1.12 MATLAB Applications 22
1.12.1 Applications 22
1.12.2 Examples 23
1.12.3 Exercises 24
Chapter 2 Periodic Sampling 25
2.1 Aliasing: Signal Ambiguity in the Frequency Domain 25
2.2 Sampling Low-Pass Signals 29
2.3 A Generic Description of Discrete Convolution 32
2.3.1 Discrete Convolution in the Time Domain 33
2.3.2 The Convolution Theorem 36
2.3.3 Applying the Convolution Theorem 39
2.4 Problems 42
2.5 Matlab Applications 43
2.5.1 Applications 43
2.5.2 Examples 44
2.5.3 Exercises 46
Chapter 3 Z-Transform 47
3.1 The z-Transform 47
3.1.1 Poles and Zeros on the z-Plane and Stability 49
3.1.2 The ROC of z-Transform 50
3.1.3 The Properties of z-Transform 53
3.2 The Inverse z-Transform 55
3.2.1 General Expression of Inverse z-Transform 55
3.2.2 Inverse z-Transform by Partial-Fraction Expansion 58
3.3 Problems 61
3.4 MATLAB Applications 63
3.4.1 Applications 63
3.4.2 Examples 64
3.4.3 Exercises 67
Chapter 4 The Discrete Fourier Transform 68
4.1 Interpreting the DFT 69
4.2 Understanding the DFT Equation 71
4.2.1 DFT Example 1 74
4.3 DFT Properties 81
4.3.1 DFT Symmetry 81
4.3.2 DFT Linearity 83
4.3.3 DFT Magnitudes 83
4.3.4 DFT Frequency Axis 84
4.3.5 DFT Shifting Theorem 85
4.4 Inverse DFT 87
4.5 DFT Leakage 88
4.6 Windows 94
4.7 DFT Resolution, Zero Padding, and Frequency-Domain Sampling 101
4.8 Frequency Response 104
4.9 Problems 106
4.10 Matlab Applications 107
4.10.1 Applications 107
4.10.2 Examples 108
4.10.3 Exercises 111
Chapter 5 The Fast Fourier Transform 112
5.1 Relationship of the FFT to the DFT 112
5.2 FFT Alogrithm 113
5.3 Derivation of the Radix-2 FFT Algorithm 114
5.4 FFT Input/Output Data Index Bit Reversal 120
5.5 Radix-2 FFT Butterfly Structures 121
5.6 Efficiently Performing the FFT of Real Sequences 127
5.6.1 Performing Two N-Point Real FFTs 127
5.6.2 Performing a 2N-Point Real FFT 133
5.7 Discrete Convolution using FFT 137
5.7.1 Overlap-added 138
5.7.2 Overlap-saved 138
5.8 IFFT Algorithm 140
5.9 Problems 143
5.10 Matlab Applications 144
5.10.1 Applications 144
5.10.2 Examples 144
5.10.3 Exercises 146
Chapter 6 Filter Structure 147
6.1 Block Structure 147
6.2 Mason and Transpose Theorem 149
6.2.1 Mason?s Rule 149
6.2.2 Transpose Theorem 150
6.3 Example of Filter Structures 151
6.3.1 IIR Filter Structure 151
6.3.2 FIR Direct Structure 158
6.3.3 FIR Cascade Structure 158
6.4 Problems 159
6.5 Matlab Applications 162
6.5.1 Applications 162
6.5.2 Examples 163
6.5.3 Exercises 167
Chapter 7 Finite Impulse Response Filters 168
7.1 An Introduction to Finite Impulse Response (FIR) Filters 169
7.2 Properties of FIR Filters 172
7.2.1 Convolution in FIR Filters 172
7.2.2 Linear phase FIR Filter 181
7.2.3 Linear Phase FIR Filter Structure 188
7.2.4 FIR Filter Poles and Zeros 194
7.3 Low-Pass FIR Filter Design 196
7.3.1 Window Design Method 197
7.3.2 Windows Used in FIR Filter Design 204
7.3.3 Examples to Design Linear Phase Low-Pass FIR Filter 210
7.4 Examples to Design Other Types Linear Phase FIR Filter 215
7.5 Problems 220
7.6 Matlab Exercises 223
7.6.1 Applications 223
7.6.2 Examples 223
7.6.3 Exercises 224
Chapter 8 Infinite Impulse Response Filters 226
8.1 An Introduction to Infinite Impulse Response Filters 227
8.2 The Laplace Transform 229
8.2.1 Poles and Zeros on the s-Plane and Stability 234
8.3 Analog Low-Pass Filters 239
8.3.1 Introduction 240
8.3.2 Approximation of analog filter characteristics 240
8.3.3 Butterworth Approximation 242
8.3.4 Chebyshev Approximation 247
8.4 Impulse Invariance IIR Filter Design Method 253
8.4.1 Impulse Invariance Design Method 1 Example 258
8.4.2 Impulse Invariance Design Method 2 Example 260
8.5 Bilinear Transform IIR Filter Design Method 266
8.5.1 Bilinear Transform Design Example 271
8.6 Low-Pass IIR Filter Design 274
8.6.1 Example of Low-Pass IIR Digital Filter Design 274
8.6.2 a Brief Comparison of IIR and FIR Filters 277
8.7 Other Types IIR Filter Design 278
8.8 Problems 284
8.9 Matlab Exercises 286
8.9.1 Functions of IIR Design 286
8.9.2 Examples 287
8.9.3 Exercises 288
展开全部
数字信号处理-(第二版)-(英文版) 作者简介
Richard G. Lyons毕业于美国加州阿克隆大学，曾任美国国家安全局和TRW（天合）汽车集团公司众多DSP系统的首席硬件工程师，负责系统设计、开发、测试和安装。曾任教于加利福尼亚大学塔克鲁兹校区，并发表过很多有关DSP的文章。作为IEEE Signal Processing Magazine的副主编，开设了DSP Tips & Tricks专栏并负责编辑。 Richard G. Lyons毕业于美国加州阿克隆大学，曾任美国国家安全局和TRW（天合）汽车集团公司众多DSP系统的首席硬件工程师，负责系统设计、开发、测试和安装。曾任教于加利福尼亚大学塔克鲁兹校区，并发表过很多有关DSP的文章。作为IEEE Signal Processing Magazine的副主编，开设了DSP Tips & Tricks专栏并负责编辑。
书友推荐
- >
李白与唐代文化
李白与唐代文化
¥12.5¥29.8 - >
回忆爱玛侬
回忆爱玛侬
¥13.8¥32.8 - >
史学评论
史学评论
¥13.4¥42.0 - >
【精装绘本】画给孩子的中国神话
【精装绘本】画给孩子的中国神话
¥17.6¥55.0 - >
龙榆生：词曲概论/大家小书
龙榆生：词曲概论/大家小书
¥7.7¥24.0 - >
有舍有得是人生
有舍有得是人生
¥16.7¥45.0 - >
上帝之肋:男人的真实旅程
上帝之肋:男人的真实旅程
¥19.3¥35.0 - >
我从未如此眷恋人间
我从未如此眷恋人间
¥15.9¥49.8
本类畅销
-
食品添加剂
¥33.5¥45 -
VB语言程序设计
¥29.9¥39.8 -
C语言程序设计习题与实验指导
¥9.1¥18 -
地下建筑结构-(第三版)-(赠课件)
¥49.4¥55 -
模具制图
¥37.8¥49 -
工程机械结构认知
¥10.5¥22
