作者简介 Richard G. Lyons毕业于美国加州阿隆大学,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。
目录 Chapter 1 Discrete Sequences and Systems 1.1 Discrete Sequences and Their Notation 1.1.1 Discrete-time Signals 1.1.2 Frequently Used Discrete Sequences 1.2 Signal Amplitude, Magnitude, Power 1.3 Signal Processing Operational Symbols 1.4 Introduction to Discrete Linear Time-Invariant Systems 1.5 Discrete Linear Systems 1.5.1 Example of a Linear System 1.5.2 Example of a Nonlinear System 1.6 Time-Invariant Systems 1.6.1 Example of a Time-Invariant System 1.7 The Commutative Property of Linear Time-Invariant Systems 1.8 The Causality Property of Linear Time-Invariant Systems 1.9 The Stability Property of Linear Time-Invariant Systems 1.10 Analyzing Linear Time-Invariant Systems 1.11 Problems 1.12 MATLAB Applications 1.12.1 Applications 1.12.2 Examples 1.12.3 Exercises Chapter 2 Periodic Sampling 2.1 Aliasing: Signal Ambiguity in the Frequency Domain 2.2 Sampling Low-Pass Signals 2.3 A Generic Description of Discrete Convolution 2.3.1 Discrete Convolution in the Time Domain 2.3.2 The Convolution Theorem 2.3.3 Applying the Convolution Theorem 2.4 Problems 2.5 Matlab Applications 2.5.1 Applications 2.5.2 Examples 2.5.3 Exercises Chapter 3 Z-Transform 3.1 The z-Transform 3.1.1 Poles and Zeros on the z-Plane and Stability 3.1.2 The ROC of z-Transform 3.1.3 The Properties of z-Transform 3.2 The Inverse z-Transform 3.2.1 General Expression of Inverse z-Transform 3.2.2 Inverse z-Transform by Partial-Fraction Expansion 3.3 Problems 3.4 MATLAB Applications 3.4.1 Applications 3.4.2 Examples 3.4.3 Exercises Chapter 4 The Discrete Fourier Transform 4.1 Interpreting the DFT 4.2 Understanding the DFT Equation 4.2.1 DFT Example 1 4.3 DFT Properties 4.3.1 DFT Symmetry 4.3.2 DFT Linearity 4.3.3 DFT Magnitudes 4.3.4 DFT Frequency Axis 4.3.5 DFT Shifting Theorem 4.4 Inverse DFT 4.5 DFT Leakage 4.6 Windows 4.7 DFT Resolution, Zero Padding, and Frequency-Domain Sampling 4.8 Frequency Response 4.9 Problems 4.1 0 Matlab Applications 4.1 0.1 Applications 4.1 0.2 Examples 4.1 0.3 Exercises Chapter 5 The Fast Fourier Transform 5.1 Relationship of the FFT to the DFT 5.2 FFT Alogrithm 5.3 Derivation of the Radix-2 FFT Algorithm 5.4 FFT Input/Output Data Index Bit Reversal 5.5 Radix-2 FFT Butterfly Structures 5.6 Efficiently Performing the FFT of Real Sequences 5.6.1 Performing Two N-Point Real FFTs 5.6.2 Performing a 2N-Point Real FFT 5.7 Discrete Convolution using FFT 5.7.1 Overlap-added 5.7.2 Overlap-saved 5.8 IFFT Algorithm 5.9 Problems 5.1 0 Matlab Applications 5.1 0.1 Applications 5.1 0.2 Examples 5.1 0.3 Exercises Chapter 6 Filter Structure 6.1 Block Structure 6.2 Mason and Transpose Theorem 6.2.1 Mason誷 Rule 6.2.2 Transpose Theorem 6.3 Example of Filter Structures 6.3.1 IIR Filter Structure 6.3.2 FIR Direct Structure 6.3.3 FIR Cascade Structure 6.4 Problems 6.5 Matlab Applications 6.5.1 Applications 6.5.2 Examples 6.5.3 Exercises Chapter 7 Finite Impulse Response Filters 7.1 An Introduction to Finite Impulse Response (FIR) Filters 7.2 Properties of FIR Filters 7.2.1 Convolution in FIR Filters 7.2.2 Linear phase FIR Filter 7.2.3 Linear Phase FIR Filter Structure 7.2.4 FIR Filter Poles and Zeros 7.3 Low-Pass FIR Filter Design 7.3.1 Window Design Method 7.3.2 Windows Used in FIR Filter Design 7.3.3 Examples to Design Linear Phase Low-Pass FIR Filter 7.4 Examples to Design Other Types Linear Phase FIR Filter 7.5 Problems 7.6 Matlab Exercises 7.6.1 Applications 7.6.2 Examples 7.6.3 Exercises Chapter 8 Infinite Impulse Response Filters 8.1 An Introduction to Infinite Impulse Response Filters 8.2 The Laplace Transform 8.2.1 Poles and Zeros on the s-Plane and Stability 8.3 Analog Low-Pass Filters 8.3.1 Introduction 8.3.2 Approximation of analog filter characteristics 8.3.3 Butterworth Approximation 8.3.4 Chebyshev Approximation 8.4 Impulse Invariance IIR Filter Design Method 8.4.1 Impulse Invariance Design Method 1 Example 8.4.2 Impulse Invariance Design Method 2 Example 8.5 Bilinear Transform IIR Filter Design Method 8.5.1 Bilinear Transform Design Example 8.6 Low-Pass IIR Filter Design 8.6.1 Example of Low-Pass IIR Digital Filter Design 8.6.2 a Brief Comparison of IIR and FIR Filters 8.7 Other Types IIR Filter Design 8.8 Problems 8.9 Matlab Exercises 8.9.1 Functions of IIR D 8.9.2 Examples 8.9.3 Exercises
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