本书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部分内容。书中以主要篇幅讨论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、数字滤波器的结构域设计、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,广泛应用于带编码和小波变换。本书*后一章介绍数字信号处理的应用,并讨论现代谱估计的部分内容。 本书具有丰富的例题、习题以及基于Matlab的信号处理算法的程序。 本书非常适合电类专业高年级本科生用作教材,也可作为研究生的参考资料和工程技术人员的自学用书。

Preface xiii
1 Signals and Signal Processing 1
1.1 Characterization and Classification of Signals 1
1.2 Typical Signal processing Operations 3
l.3 Examples of Typical Signals 12
l.4 Typical Signal Processing Applications 22
l.5 Why Digital Signal processing 37
2 Discrete-Time Signals and Systems in the Time-Domain 41
2.l Discrete-Time Signals 42
2.2 Typical Sequences and Sequence Representation 53
2.3 The Sampling Process 60
2.4 Discrete-Time Systems 63
2.5 Time-Domain Characterization of LTI Discrete-Time Systems 71
2.6 Finite-Dimensional LTI Discrete-Time Systems 80
2.7 Correlation of Signals 88
2.8 Random Signals 94
2.9 Summary 105
2.10 Problems 106
2.11 MATLAB Exercises 115
3 Discrete-Time Signals in the Transform-Domain 117

Saniit K. Mitra received his M.S. and Ph.D. in electrical engineering from the University of California, Berkelev. and an Honorarv Doctorate of Technology from Tampere University of Technology in Finland. After holding the position of assistant professor at Cornell University until 1965 and working at AT&T Bell Laboratories, Holmdel, New Jersey, until 1967, he joined ale faculty of the University of California at Davis. Dr. Mitra then transf..