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内容简介
《信号与系统(第2版英文版)》全面系统地介绍了信号与系统的基本概念、理论、方法及应用。全书共10章。第1章介绍了信号与系统的基本概念；第2章讨论了线性非时变系统的时域分析方法；第3、4章分别讨论了离散时间周期与非周期信号、连续时间周期与非周期信号，以及线性非时变系统的傅里叶描述以及傅里叶描述在混合信号类型中的应用；第6、7章分别讨论了连续时间信号与离散时间信号的复指数描述；第5、8、9章分别介绍了信号与系统在通信系统、滤波器与均衡器以及线性反馈系统中的应用；第10章简要说明若干关于非稳定信号以及非线性与时变系统的课题。 本书在体系和内容上独具特色。第1章包含了有关噪声的内容。第4章特别介绍了在混合信号应用中如何在4种基本傅里叶表示方法之间建立联系。全书各章都有用MATLAB语言解题的内容、参考资料及进一步的阅读材料，并配有相当数量的例题。通过书中大量的各类习题和计算机实验题，能够使读者开阔视野，为读者提供了足够的训练空间。 《信号与系统(第2版英文版)》可作为电气工程、电子、通信、信号处理、自动控制、计算机等专业信号与系统课程的教材或参考书，也可供从事相关领域工作的工程技术人员参考。本书由Simon Haykin(加)(赫金), Barry Van Veen(美)(范维恩)著。
目 录
PrefaceCHAPTER 1 Introduction1.1 What Is a Signal?1.2 What Is a System?1.3 Overview of Specific Systems1.4 Classification of Signals1.5 Basic Operations on Signals1.6 Elementary Signals1.7 Systems Viewed as Interconnections of Operations1.8 Properties of Systems1.9 Noise1.10 Theme Examples1.11 Exploring Concepts with MATLAB1.12 SummaryFurther ReadingAdditional ProblemsCHAPTER 2 Time-Domain Representations of Linear Time-Invariant Systems2.1 Introduction2.2 The Convolution Sum2.3 Convolution Sum Evaluation Procedure2.4 The Convolution Integral2.5 Convolution Integral Evaluation Procedure2.6 Interconnections of LTI Systems2.7 Relations between LTI System Properties and the Impulse Response2.8 Step Response2.9 Differential and Difference Equation Representations of LTI Systems2.10 Solving Differential and Difference Equations2.11 Characteristics of Systems Described by Differential and Difference Equations2.12 Block Diagram Representations2.13 State-Variable Descriptions of LTI Systems2.14 Exploring Concepts with MATLAB2.15 SummaryFurther ReadingAdditional ProblemsCHAPTER 3 Fourier Representations of Signals and Linear Time-Invariant Systems3.1 Introduction3.2 Complex Sinusoids and Frequency Response of LTI Systems3.3 Fourier Representations for Four Classes of Signals3.4 Discrete-Time Periodic Signals: The Discrete-Time Fourier Series3.5 Continuous-Time Periodic Signals: The Fourier Series3.6 Discrete-Time Nonperiodic Signals: The Discrete-Time Fourier Transform3.7 Continuous-Time Nonperiodic Signals: The Fourier Transform3.8 Properties of Fourier Representations3.9 Linearity and Symmetry Properties3.10 Convolution Property3.11 Differentiation and Integration Properties3.12 Time- and Frequency-Shift Properties3.13 Finding Inverse Fourier Transforms by Using Partial-Fraction Expansions3.14 Multiplication Property3.15 Scaling Properties3.16 Parseval Relationships3.17 Time–Bandwidth Product3.18 Duality3.19 Explo……
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