数字信号处理系统分析与设计（原书 英文版）第二版
作　者： （巴西）迪尼兹 等著
出版时间： 2012
内容简介
　　《经典原版书库·数字信号处理：系统分析与设计（英文版·第2版）》将理论与实际有机融合，涵盖了数字信号处理（DSP）分析和设计的所有重要内容，提供了数字信号处理这一前沿技术领域难得的设计理念和方法。本书不仅可作为高等院校电子、通信等专业本科生或研究生教材，还可作为工程技术人员DSP设计方面的参考用书。第2版在上一版的基础上，扩充了滤波器组和小波分析的内容，新增了随机信号处理、谱估计和求解差分方程的内容，数学推导中给出了易于读者理解的步骤。第2版还提供了120个范例、20A1案例研究、约400道练习题。此外，第2版还有一大新特点：每章末增加了一节“Do-it-Yourself\，使读者通过MATLAB实验获得解决实际信号处理问题的亲身体验。
目录
Preface
Introduction
1 Discrete-time signals and systems
1.1 Introduction
1.2 Discrete-time signals
1.3 Discrete-time systems
1.3.1 Linearity
1.3.2 Time invariance
1.3.3 Causality
1.3.4 Impulse response and convolution sums
1.3.5 Stability
1.4 Difference equations and time-domain response
1.4.1 Recursive x no recursive systems
1.5 Song difference equations
1.5.1 Computing impulse responses
1.6 Sampling of continuous-time signals
1.6.1 Basic principles
1.6.2 Sampling theorem
1.7 Random signals
1.7.1 Random variable
1.7.2 Random processes
1.7.3 Filtering a random signal
1.8 Do-it-yourself: discrete-time signals and systems
1.9 Discrete-time signals and systems with MA lab
1.10 Summary
1.11 Exercises
2 The z and Fourier transforms
2.1 Introduction
2.2 Definition of the z transforms
2.3 Inverse z transform
2.3.1 Computation based on residue theorem
2.3.2 Computation based on partial-fraction expansions
2.3.4 Computation based on series expansion
2.4 Properties of the z transom
2.4.1 Linearity
2.4.2 Time reversal
2.4.3 Time-stuff theorem
2.4.4 Multiplication by an exponential
2.4.5 Complex differentiation
2.4.6 Complex conjugation
2.4.7 Real and imaginary sequences
2.4.8 Initial-value theorem
2.4.9 Convolution theorem
2.4.10 Product of two sequences
2.4.11 Parsifal's theorem
2.4.12 Table of basic z transforms
2.5 Transfer functions
2.6 Stability in the z domain
2.7 Frequency response
2.8 Fourier transform
2.9 Properties of the Fourier transform
2.9.1 Linearity
2.9.2 Time reversal
2.9.3 Time-shift theorem
2.9.4 Multiplication by a complex exponential (frequency shiftmodulation)
2.9.5 Complex differentiation
2.9.6 Complex conjugation
2.9.7 Real and imaginary sequences
2.9.8 Symmetric and ant symmetric sequences
2.9.9 Convolution theorem
2.9.10 Product of two sequences
2.9.11 Parsifal's theorem
2.10 Fourier transform for periodic sequences
2.11 Random signals in the transform domain
2.11.1 Powerspectraldensity
2.11.2 White noise
2.12 Do it-yourself: the z and Fourier transforms
2.13 The z and Fourier transforms with MATLAB
2.14 Summary
2.15 Exercises
3 Discrete transforms
3.1 Introduction
3.2 Discrete Fourier transform
3.3 Properties of the DFT
……
4 Digital Filters
5 Fir Filter Approximations
6 IIR Filter Approximations
7 Spectral Estimation
8 Multirate Systems
9 Filter Banks
10 Wavelet Transforms
11 Finite Precision Digital Signal Processing
12 Efficient Fir Structures
13 Efficient IIR Structures