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  • ISBN:9787302385981
  • 装帧:一般胶版纸
  • 册数:暂无
  • 重量:暂无
  • 开本:其它
  • 页数:245
  • 出版时间:2015-01-01
  • 条形码:9787302385981 ; 978-7-302-38598-1

本书特色

fundamentals of signals and systems deals with the concepts of signals and systems, which are the corner-stone of a wide variety of areas ranging from home-oriented consumer electronics and multimedia entertainment products to sophisticated communications, aeronautics and astronautics, and control. a course on signals and systems is fundamental and compulsory for an engineering under-graduate curriculum in any well-established tertiary (education) institutions. this book provides readers with the basic principles and methods underlying the analysis of signals and systems in the context of both continuous- and discrete-time, including fourier analysis based representations for signals and both time- and transform-domain approaches as well as state-space approach to (linear time-invariant) systems. great emphasis is placed on being concise, easy for self-study, and rigorous. compared with most of the existing textbooks on the same topics, more effort is made in this book to provide a clear picture of the relationship between linear constant differential/difference equations and linear time-invariant systems. another significant feature of this book is a separated chapter (chapter 8) that contains a set of comprehensive exercises, each of which usually involves mathematical deviations and more sophisticated application of the concepts and approaches provided in the entire text book rather than an individual chapter. this book is primarily designed for undergraduate students majoring electrical & electronics and information engineering, the concepts and techniques introduced in the book, however, are of fundamental importance in all other engineering disciplines. readers of this book are assumed to have a basic background in engineering mathematics, including calculus, complex functions, and linear differential equations. some knowledge on circuit theory, though not a prerequisite, would be helpful for the study.

内容简介

Fundamentals of Signals and Systems deals with the concepts of signals and systems, which are the corner-stone of a wide variety of areas ranging from home-oriented consumer electronics and multimedia entertainment products to sophisticated communications, aeronautics and astronautics, and control. A course on signals and systems is fundamental and compulsory for an engineering under-graduate curriculum in any well-established tertiary (education) institutions. This book provides readers with the basic principles and methods underlying the analysis of signals and systems in the context of both continuous- and discrete-time, including Fourier analysis based representations for signals and both time- and transform-domain approaches as well as state-space approach to (linear time-invariant) systems. Great emphasis is placed on being concise, easy for self-study, and rigorous. Compared with most of the existing textbooks on the same topics, more effort is made in this book to provide a clear picture of the relationship between linear constant differential/difference equations and linear time-invariant systems. Another significant feature of this book is a separated chapter (Chapter 8) that contains a set of comprehensive exercises, each of which usually involves mathematical deviations and more sophisticated application of the concepts and approaches provided in the entire text book rather than an individual chapter. This book is primarily designed for undergraduate students majoring electrical & electronics and information engineering, the concepts and techniques introduced in the book, however, are of fundamental importance in all other engineering disciplines. Readers of this book are assumed to have a basic background in engineering mathematics, including calculus, complex functions, and linear differential equations. Some knowledge on circuit theory, though not a prerequisite, would be helpful for the study.

目录

    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
  6.1  motivation
  6.2  the laplace transform
    6.2.1  derivation of the transform
    6.2.2  region of convergence
    6.2.3  inverse laplace transform
    6.2.4  properties of laplace transform
  6.3  the z-transform
    6.3.1  region of convergence
    6.3.2  properties of the z-transform
    6.3.3  inverse z-transform
  6.4  transform-domain approach to lti systems
    6.4.1  transfer function of lti systems
    6.4.2  inverse systems of ltis and deconvolutions
    6.4.3  revisit of lti system's stability and causality
    6.4.4  transfer function of lti systems by lccdes
  6.5  transform domain approach to lccdes
  6.6  decomposition of lti system responses
  6.7  unilateral transforms
    6.7.1  unilateral laplace transform
    6.7.2  unilateral z-transform
  6.8  summary
  6.9  problems
chapter 7  structures and state-space realizations
  7.1  block-diagram representation
  7.2  structures of ltis with a rational transfer function
  7.3  state-space variable representation
    7.3.1  state model and state-space realizations
    7.3.2  construction of an equivalent state-space realization
    7.3.3  similarity transformations
  7.4  discretizing a continuous-time state model
  7.5  summary
  7.6  problems
chapter 8  comprehensive problems
  8.1  motivation
  8.2  problems
appendices
bibliography
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作者简介

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。长期从事数字信号处理、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。

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