数字信号处理：基于计算机的方法（第4版）（英文改编版）

　　Table of Contents
　　1 Signals and Signal Processing
　　1.1 Characterization and Classification of Signals
　　1.2 Typical Signal Processing Operations
　　1.3 Examples of Typical Signals
　　1.4 Typical Signal Processing Applications
　　1.5 Why Digital Signal Processing?
　　2 Discrete-Time Signals in the Time Domain
　　2.1 Time-Domain Representation
　　2.2 Operations on Sequences
　　2.3 Operations on Finite-Length Sequences
　　2.4 Typical Sequences and Sequence Representation
　　2.5 The Sampling Process
　　2.6 Correlation of Signals
　　2.7 Random Signals
　　2.8 Summary
　　2.9 Problems
　　2.10 MATLAB Exercises
　　3 Discrete-Time Signals in the Frequency Domain
　　3.1 The Continuous-Time Fourier Transform
　　3.2 The Discrete-Time Fourier Transform
　　3.3 Discrete-Time Fourier Transform Theorems
　　3.4 Energy Density Spectrum of a Discrete-Time Sequence
　　3.5 Band-Limited Discrete-Time Signals
　　3.6 DTFT Computation Using MATLAB
　　3.7 The Unwrapped Phase Function
　　3.8 Digital Processing of Continuous-Time Signals
　　3.9 Sampling of Bandpass Signals
　　3.10 Effect of Sample-and-Hold Operation
　　3.11 Summary
　　3.12 Problems
　　3.13 MATLAB Exercises
　　4 Discrete-Time Systems
　　4.1 Discrete-Time System Examples
　　4.2 Classification of Discrete-Time Systems
　　4.3 Impulse and Step Responses
　　4.4 Time-Domain Characterization of LTI Discrete-Time Systems
　　4.5 Simple Interconnection Schemes
　　4.6 Finite-Dimensional LTI Discrete-Time Systems
　　4.7 Classification of LTI Discrete-Time Systems
　　4.8 Frequency-Domain Representations of LTI Discrete-Time Systems
　　4.9 Phase and Group Delays
　　4.10 Summary
　　4.11 Problems
　　4.12 MATLAB Exercises
　　5 Finite-Length Discrete Transforms
　　5.1 Orthogonal Transforms
　　5.2 The Discrete Fourier Transform
　　5.3 Relation Between the DTFT and the DFT and Their Inverses
　　5.4 Circular Convolution
　　5.5 Classifications of Finite-Length Sequences
　　5.6 DFT Symmetry Relations
　　5.7 Discrete Fourier Transform Theorems
　　5.8 Fourier-Domain Filtering
　　5.9 Computation of the DFT of Real Sequences
　　5.10 Linear Convolution Using the DFT
　　5.11 Summary
　　5.12 Problems
　　5.13 MATLAB Exercises
　　6 z-Transform
　　6.1 Definition
　　6.2 Rational z-Transforms
　　6.3 Region of Convergence of a Rational z-Transform
　　6.4 The Inverse z-Transform
　　6.5 z-Transform Theorems
　　6.6 Computation of the Convolution Sum of Finite-Length Sequences
　　6.7 The Transfer Function
　　6.8 Summary
　　6.9 Problems
　　6.10 MATLAB Exercises
　　7 LTI Discrete-Time Systems in the Transform Domain
　　7.1 Transfer Function Classification Based on Magnitude Characteristics
　　7.2 Transfer Function Classification Based on Phase Characteristics
　　7.3 Types of Linear-Phase FIR Transfer Functions
　　7.4 Simple Digital Filters
　　7.5 Inverse Systems
　　7.6 Summary
　　7.7 Problems
　　7.8 MATLAB Exercises
　　8 Digital Filter Structures
　　8.1 Block Diagram Representation
　　8.2 Equivalent Structures
　　8.3 Basic FIR Digital Filter Structures
　　8.4 Basic IIR Digital Filter Structures
　　8.5 Realization of Basic Structures Using MATLAB
　　8.6 Allpass Filters
　　8.7 IIR Tapped Cascaded Lattice Structures
　　8.8 FIR Cascaded Lattice Structures
　　8.9 Summary
　　8.10 Problems
　　8.11 MATLAB Exercises
　　9 IIR Digital Filter Design
　　9.1 Preliminary Considerations
　　9.2 Bilinear TransformationMethod of IIR Filter Design
　　9.3 Design of Lowpass IIR Digital Filters
　　9.4 Design of Highpass, Bandpass, and Bandstop IIR Digital Filters
　　9.5 Spectral Transformations of IIR Filters
　　9.6 IIR Digital Filter Design Using MATLAB
　　9.7 Summary
　　9.8 Problems
　　9.9 MATLAB Exercises
　　10 FIR Digital Filter Design
　　10.1 Preliminary Considerations
　　10.2 FIR Filter Design Based on Windowed Fourier Series
　　10.3 Computer-Aided Design of Equiripple Linear-Phase FIR Filters
　　10.4 Design of Minimum-Phase FIR Filters
　　10.5 FIR Digital Filter Design Using MATLAB
　　10.6 Summary
　　10.7 Problems
　　10.8 MATLAB Exercises
　　11 DSP Algorithm Implementation
　　11.1 Basic Issues
　　11.2 Structure Simulation and Verification Using MATLAB
　　11.3 Computation of the Discrete Fourier Transform
　　11.4 Fast DFT Algorithms Based on Index Mapping
　　11.5 DFT and IDFT Computation Using MATLAB
　　11.6 Sliding Discrete Fourier Transform
　　11.7 DFT Computation over a Narrow Frequency Band
　　11.8 Summary
　　11.9 Problems
　　11.10 MATLAB Exercises
　　A Analog Lowpass Filter Design
　　A.1 Analog Filter Specifications
　　A.2 Butterworth Approximation
　　A.3 Chebyshev Approximation
　　A.4 Elliptic Approximation
　　A.5 Linear-Phase Approximation
　　A.6 Analog Filter Design Using MATLAB
　　A.7 Analog Lowpass Filter Design Examples
　　A.8 A Comparison of the Filter Types
　　A.9 Anti-Aliasing Filter Design
　　A.10 Reconstruction Filter Design
　　B Design of Analog Highpass, Bandpass, and Bandstop Filters
　　B.1 Analog Highpass Filter Design
　　B.2 Analog Bandpass Filter Design
　　B.3 Analog Bandstop Filter Design
　　Bibliography

　　《数字信号处理：基于计算机的方法（第4版）（英文改编版）》是在数字信号领域的经典教材Digital Signal Processing： A Computer-Based Approach， Fourth Edition的基础上改编而成的，内容涵盖了信号与信号处理、时域中的离散时间信号统、频域中的离散时间信号、离散时间系统、有限长离散变换、z变换、变换域中的LTI离散时间系统、数字滤波器结构、IIR数字滤波器设计、FIR数字滤波器设计、DSP算法实现等方面。《数字信号处理：基于计算机的方法（第4版）（英文改编版）》的特点是，在讲解上述内容的同时，给出了大量简单而实用的例子，并用MATLAB程序进行了验证，同时提供了大量的高质量习题和仿真练习。
　　《数字信号处理：基于计算机的方法（第4版）（英文改编版）》可作为高等院校电子信息类专业本科生或低年级研究生的教材，尤其适用于双语教学，也可供有关技术、科研管理人员使用，或作为继续教育的参考书。