数字信号处理-(第二版)-(英文版)
本书特色
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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。
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作者简介
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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。
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目录
Chapter 1 Discrete Sequences and Systems 11.1 Discrete Sequences and Their Notation 11.1.1 Discrete-time Signals 21.1.2 Frequently Used Discrete Sequences 71.2 Signal Amplitude, Magnitude, Power 91.3 Signal Processing Operational Symbols 101.4 Introduction to Discrete Linear Time-Invariant Systems 121.5 Discrete Linear Systems 121.5.1 Example of a Linear System 121.5.2 Example of a Nonlinear System 141.6 Time-Invariant Systems 161.6.1 Example of a Time-Invariant System 161.7 The Commutative Property of Linear Time-Invariant Systems 171.8 The Causality Property of Linear Time-Invariant Systems 181.9 The Stability Property of Linear Time-Invariant Systems 181.10 Analyzing Linear Time-Invariant Systems 191.11 Problems 201.12 MATLAB Applications 221.12.1 Applications 221.12.2 Examples 231.12.3 Exercises 24Chapter 2 Periodic Sampling 252.1 Aliasing: Signal Ambiguity in the Frequency Domain 252.2 Sampling Low-Pass Signals 292.3 A Generic Description of Discrete Convolution 322.3.1 Discrete Convolution in the Time Domain 332.3.2 The Convolution Theorem 362.3.3 Applying the Convolution Theorem 392.4 Problems 422.5 Matlab Applications 432.5.1 Applications 432.5.2 Examples 442.5.3 Exercises 46Chapter 3 Z-Transform 473.1 The z-Transform 473.1.1 Poles and Zeros on the z-Plane and Stability 493.1.2 The ROC of z-Transform 503.1.3 The Properties of z-Transform 533.2 The Inverse z-Transform 553.2.1 General Expression of Inverse z-Transform 553.2.2 Inverse z-Transform by Partial-Fraction Expansion 583.3 Problems 613.4 MATLAB Applications 633.4.1 Applications 633.4.2 Examples 643.4.3 Exercises 67Chapter 4 The Discrete Fourier Transform 684.1 Interpreting the DFT 694.2 Understanding the DFT Equation 714.2.1 DFT Example 1 744.3 DFT Properties 814.3.1 DFT Symmetry 814.3.2 DFT Linearity 834.3.3 DFT Magnitudes 834.3.4 DFT Frequency Axis 844.3.5 DFT Shifting Theorem 854.4 Inverse DFT 874.5 DFT Leakage 884.6 Windows 944.7 DFT Resolution, Zero Padding, and Frequency-Domain Sampling 1014.8 Frequency Response 1044.9 Problems 1064.10 Matlab Applications 1074.10.1 Applications 1074.10.2 Examples 1084.10.3 Exercises 111Chapter 5 The Fast Fourier Transform 1125.1 Relationship of the FFT to the DFT 1125.2 FFT Alogrithm 1135.3 Derivation of the Radix-2 FFT Algorithm 1145.4 FFT Input/Output Data Index Bit Reversal 1205.5 Radix-2 FFT Butterfly Structures 1215.6 Efficiently Performing the FFT of Real Sequences 1275.6.1 Performing Two N-Point Real FFTs 1275.6.2 Performing a 2N-Point Real FFT 1335.7 Discrete Convolution using FFT 1375.7.1 Overlap-added 1385.7.2 Overlap-saved 1385.8 IFFT Algorithm 1405.9 Problems 1435.10 Matlab Applications 1445.10.1 Applications 1445.10.2 Examples 1445.10.3 Exercises 146Chapter 6 Filter Structure 1476.1 Block Structure 1476.2 Mason and Transpose Theorem 1496.2.1 Mason?s Rule 1496.2.2 Transpose Theorem 1506.3 Example of Filter Structures 1516.3.1 IIR Filter Structure 1516.3.2 FIR Direct Structure 1586.3.3 FIR Cascade Structure 1586.4 Problems 1596.5 Matlab Applications 1626.5.1 Applications 1626.5.2 Examples 1636.5.3 Exercises 167Chapter 7 Finite Impulse Response Filters 1687.1 An Introduction to Finite Impulse Response (FIR) Filters 1697.2 Properties of FIR Filters 1727.2.1 Convolution in FIR Filters 1727.2.2 Linear phase FIR Filter 1817.2.3 Linear Phase FIR Filter Structure 1887.2.4 FIR Filter Poles and Zeros 1947.3 Low-Pass FIR Filter Design 1967.3.1 Window Design Method 1977.3.2 Windows Used in FIR Filter Design 2047.3.3 Examples to Design Linear Phase Low-Pass FIR Filter 2107.4 Examples to Design Other Types Linear Phase FIR Filter 2157.5 Problems 2207.6 Matlab Exercises 2237.6.1 Applications 2237.6.2 Examples 2237.6.3 Exercises 224Chapter 8 Infinite Impulse Response Filters 2268.1 An Introduction to Infinite Impulse Response Filters 2278.2 The Laplace Transform 2298.2.1 Poles and Zeros on the s-Plane and Stability 2348.3 Analog Low-Pass Filters 2398.3.1 Introduction 2408.3.2 Approximation of analog filter characteristics 2408.3.3 Butterworth Approximation 2428.3.4 Chebyshev Approximation 2478.4 Impulse Invariance IIR Filter Design Method 2538.4.1 Impulse Invariance Design Method 1 Example 2588.4.2 Impulse Invariance Design Method 2 Example 2608.5 Bilinear Transform IIR Filter Design Method 2668.5.1 Bilinear Transform Design Example 2718.6 Low-Pass IIR Filter Design 2748.6.1 Example of Low-Pass IIR Digital Filter Design 2748.6.2 a Brief Comparison of IIR and FIR Filters 2778.7 Other Types IIR Filter Design 2788.8 Problems 2848.9 Matlab Exercises 2868.9.1 Functions of IIR Design 2868.9.2 Examples 2878.9.3 Exercises 288
封面
书名:数字信号处理-(第二版)-(英文版)
作者:理查德.G.莱昂斯
页数:304
定价:¥55.0
出版社:电子工业出版社
出版日期:2017-02-01
ISBN:9787121309205
PDF电子书大小:85MB 高清扫描完整版