《数字信号处理——基于计算机的方法(附光盘第3版国际知名大学原版教材)》由米特拉(Sanjit K.Mitra)著，本书的选材以数字信号处理的基础内容为主，同时也给出了现代信号处理的部分内容。书中以主要篇幅讨论了离散信号和离散系统的基本概念及其时域分析、变换域分析、数字滤波器的结构与设计、有限字长分析及随机信号的基本概念等。这是数字信号处理中的经典内容，也是进一步学习和掌握更多信号处理理论的基础。此外，本书用一章讨论了多抽样率信号处理问题，其中的滤波器组(Filter Bank)是近十年来非常活跃的内容，广泛应用于子带编码和小波变换。本书最后一章介绍了数字信号处理的应用，并讨论了现代谱估计的部分内容。所以，从本书的选材看，它非常适合电类专业高年级本科生用作教材，当然，也可作为研究生的参考用书和工程技术人员的自学用书。

米特拉教授的《数字信号处理——基于计算机的方法(附光盘第3版国际知名大学原版教材)》于2001年由清华大学出版社推出以来，得到了广大院校师生的一致好评，并对国内高校双语教学的展开起到了积极的推动作用。

现在推出的第3版缩编影印版。由国内知名教授根据教学经验和教学要求提出缩编方案，使之既满足国内学生阅读国外经典教材的需求，又最大程度地维护原著的特色与风格。

《数字信号处理——基于计算机的方法(附光盘第3版国际知名大学原版教材)》非常适合电类专业本科生用作教材，也可作为研究生的参考用书和工程技术人员的自学用书。

Preface

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 and Systems

 2.1 Discrete-Time Signals

 2.2 Typical Sequences and Sequence Representation

 2.3 The Sampling Process

 2.4 Discrete-Time Systems

 2.5 Time-Domain Characterization of LTI Discrete-Time Systems

 2.6 Simple Interconnection Schemes

 2.7 Finite-Dimensional LTI Discrete-Time Systems

 2.8 Classification of LTI Discrete-Time Systems

 2.9 Correlation of Signals

 2.10 Random Signals

 2.11 Summary

 2.12 Problems

 2.13 MATLAB Exercises

3 Discrete-Time Fourier Transform

 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 The Frequency Response of an LTI Discrete-Time System

 3.9 Phase and Group Delays

 3.10 Summary

 3.11 Problems

 3.12 MATLAB Exercises

4 Digital Processing of Continuous-Time Signals

 4.1 Introduction

 4.2 Sampling of Continuous-Time Signals

 4.3 Sampling of Bandpass Signals

 4.4 Analog Lowpass Filter Design

 4.5 Design of Analog Highpass, Bandpass, and Bandstop Filters

 4.6 Anti-Aliasing Filter Design

 4.7 Sample-and-Hold Circuit

 4.8 Analog-to-Digital Converter

 4.9 Digital-to-Analog Converter

 4.10 Reconstruction Filter Design

 4.11 Effect of Sample-and-Hold Operation

 4.12 Summary

 4.13 Problems

 4.14 MATLAB Exercises

5 Finite-Length Discrete Transforms

 5.1 Orthogonal Transforms

 5.2 The Discrete Fourier Transform

 5.3 Relation Between the Fourier Transform and the DFT, and Their Inverses

 5.4 Operations on Finite-Length Sequences

 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 Discrete Cosine Transform

 5.12 The Haar Transform

 5.13 Energy Compaction Properties

 5.14 Summary

 5.15 Problems

 5.16 MATLAB Exercises

6 z-Transform

 6.1 Definition and Properties

 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 Properties

 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 Transfer Functions

 7.4 Simple Digital Filters

 7.5 Complementary Transfer Functions

 7.6 Inverse Systems

 7.7 System Identification

 7.8 Digital Two-Pairs

 7.9 Algebraic Stability Test

 7.10 Summary

 7.11 Problems

 7.12 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 Tunable IIR Digital Filters

 8.8 IIR Tapped Cascaded Lattice Structures

 8.9 FIR Cascaded Lattice Structures

 8.10 Parallel Allpass Realization of IIR Transfer Functions

 8.11 Digital Sine-Cosine Generator

 8.12 Computational Complexity of Digital Filter Structures

 8.13 Summary

 8.14 Problems

 8.15 MATLAB Exercises

9 IIR Digital Filter Design

 9.1 Preliminary Considerations

 9.2 Bilinear Transformation Method 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 Computer-Aided Design of IIR Digital Filters

 9.8 Summary

 9.9 Problems

 9.10 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 Design of Computationally Efficient FIR Digital Filters

 10.7 Summary

 10.8 Problems

 10.9 MATLAB Exercises

Bibliography