李刚，教授，博士生导师，浙江省“钱江学者”特聘教授。1982年1月毕业于北京工业学院（现北京理工大学），1990年11月获比利时新鲁汶大学工学博士。1992年4月至2007年2月在新加坡南洋理工大学任教。长期从事信号处理、系统与控制理论等方面的教学与研究，主要研究方向为信号变换与压缩、数字系统结构与参数化理论及优化方法。
常丽萍，博士，副教授，2008年6月毕业于中国科学院上海光学精密机械研究所，目前在浙江工业大学信息工程学院从事教学和科研工作。研究方向为信号稀疏表示模型、压缩感知与信号检测等。
李胜，博士，讲师，2010年12月取得英国约克大学博士学位，曾获约克大学授予的K.M.Stott科研奖。于2011年10月在德国伊尔梅瑙工业大学通信研究实验室结束博士后工作，目前在浙江工业大学任教。主要研究方向包括自适应算法、无线通信系统、通信接收机设计、干扰消除等。
Preface
Chapter 1 Introduction
1.1 Overview of signals and systems
1.1.1 What is a signal?
1.1.2 What is a system?
1.2 Description and classification of signals
1.2.1 Continuous-time signals and discrete-time signals
1.2.2 Energy signals and power signals
1.2.3 Periodic signals and non-periodic signals
1.2.4 Deterministic signals and random signals
1.2.5 Elementary signals
1.3 Description of Systems
1.3.1 Elementary systems
1.3.2 System modelling
1.4 Properties of systems
1.4.1 Memoryless and with memory
1.4.2 Causality
1.4.3 Invertibility
1.4.4 Stability
1.4.5 Time-invariance
1.4.6 Linearity
1.5 Summary
1.6 Problems
Chapter 2 Time-domain Analysis of LTI Systems
2.1 Introduction
2.2 The unit impulse response and convolutions
2.2.1 The convolution sum ~
2.2.2 The convolution integral
2.3 Properties of convolutions and equivalent systems
2.4 Causality and stability of LTI systems
2.5 Systems constrained with LCCDEs
2.5.1 Continuous-time systems constrained with LCCDEs
2.5.2 Discrete-time systems characterized by LCCDEs
2.6 Summary
2.7 Problems
Chapter 3 Fourier Analysis of Signals
3.1 Introduction
3.2 Fourier series for continuous-time periodic signals
3.3 Fourier series for discrete-time periodic signals
3.4 Why should a signal be transformed?
3.5 Fourier transform for continuous-time signals
3.5.1 Properties of Fourier transform
3.5.2 Inverse Fourier transform
3.6 The discrete-time Fourier transform
3.6.1 Properties of DTFT
3.6.2 Inverse DTFT
3.7 Fourier series and Fourier transforms
3.8 Summary
3.9 Problems
Chapter 4 Frequency-domain Approach to LTI Systems
4.1 Introduction
4.2 Frequency response of LTI systems
4.3 Bode plots for continuous-time LTI systems
4.4 Frequency response of LTIs described with LCCDEs
4.5 Frequency domain approach to system outputs
4.6 Some typical LTI systems
4.6.1 All-pass systems
4.6.2 Linear phase response systems
4.6.3 Ideal filters
4.6.4 Ideal transmission channels
4.7 Summary
4.8 Problems
Chapter 5 Discrete Processing of Analog Signals
5.1 Introduction
5.2 Sampling of a continuous-time signal
5.3 Spectral relationship and sampling theorem
5.4 Reconstruction of continuous-time signals
5.5 Hybrid systems for discrete processing
5.6 Discrete Fourier transform
5.7 Compressed sensing
5.8 Summary
5.9 Problems
Chapter 6 Transform-domain Approaches
Chapter 7 Structures and State-space Realizations
Chapter 8 Comprehensive Problems
Appendices
Bibliography
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