The second edition of the signal and systems based on application of Web and MATLAB(Chinese Edition)(Old-Used)

Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2002-05-01 Pages: 14 Publisher: Electronic Industry Press book discusses the basic theory of signals and systems. the basic analysis method and its application to the state from the input-output description described; from continuous to discrete; from the time domain to the transform domain content. The 1.2 continuous time signal of the basic concepts of Contents Chapter 1 1.1 signal system 1.1.1 Signal 1.1.2 Signal Processing 1.1.3 System 1.2.1 step signal and ramp-varying signal shifted signals .2.2 periodic signal impulse signal 1.2.3 1.2.4 1.2.5 consecutive points and the derivative segment 1.2.6 continuous time signal of the continuous signal 1.2.7 time The segment defined signal 1.2.8 Continuous time signal matlab Analysis 1.3 discrete-time signal 1.3.1 Sampling 1.3.2 step function and oblique Variables 1.3.3 unit impulse 1.3. 1.3.5 Discrete time rectangular pulse of four cycles of the discrete-time signal the .1.3.6 digital signal Timeshifting signal 1.3.7 1.3.8 piecewise discrete-time signal 1.4 Example 1. the basic properties of the discrete-time system of the plane 4.1 rc circuit 1.4.2 Automotive 1.4.3 objects - spring - damper system pendulum 1.4.5 1.4.4 Example 1.5 system .5.1 causality 1.5.2 Linear 1.5.3 invariance 1.5.4 Chapter 2 differential differential equation system of finite dimensional exercises 2.1 with constant coefficients input-output differential equations 2.1. 2.1.2 the first order of the initial conditions 2.1.3 2.2.1 circuit 2.2.2 mechanical systems second-order or higher order equations 2.2 System Modeling 2.3 with constant coefficients line sexual input / output differential equation 2.3.1 recursive solution 2.3.2 complete solution of differential equations 2.4 2.4.1 first-order time discretization situation 2.4.2 Second Order 2.5 time-varying coefficients linear input-output differential equations. time-variant or nonlinear equation system 2.5.1 2.5.2 nonlinear input-output differential equation 2.5.3 Time-varying nonlinear discrete-time systems exercises Chapter convolution convolution of the of 3.1 linear discrete-time system 3.1.1 unit impulse response of 3.2 discrete time signal convolution 3.2.2 system indicates the nature of the 3.2.1 convolution operation the calculated output 3.3 linear time-invariant continuous-time systems impulse response convolution Table 3.3.1. 3.4 continuous-time signal convolution said 3.4.1 convolution of nature 3.4.2 Chapter 4 Fourier series and Fourier transform calculation of system output 3.5 numerical convolution 3.6 linear time-varying system 3.6.1 Discrete time-varying system 3.6.2 continuous time case exercises 4.1 frequency of the signal component represents the Gibbs France 4.1.1 complex exponential 4.1.2 4.2 periodic signal line spectrum trigonometric series of Fourier series 4.2.1 4.2.2 ( Gibbs) phenomenon 4.2.3 parseval Theorem 4.3 Fourier Transform 4.3.1 Under normal circumstances Bo Fourier Transform 4.3.2 Fourier transform Cartesian and polar coordinate expression. 3.3 parity symmetry signal 4.3.4 band-limited signal 4.3.5 4.4 Fourier Transform of the nature of the inverse Fourier transform 4.4.1 Linear 4.4.2 when metastatic. 4.3 time scale transformation characteristics 4.4.4 Time Domain reflexed 4.4.5 4.4.6 The frequency shift characteristics 4.4.7 4.4.8 Time Domain Differential multiplied by the sine signal frequency domain differential 4.4.9 Time Domain Integral 4.4.10 domain convolution 4.4.11 time-domain product the 4.4.12 parseval Theorem 4.4.13 symmetry. 4.5 Generalized Fourier Transform 4.5 Chapter 5 .1 periodic signal Fourier transform Fourier transform Exercise 4.5.2 unit step function systems. analysis of response 5.2 5.1 sinusoidal input signal cycle input signal response 5.2. 1 cycle input signal 5.3 aperiodic input signal response 5.4 ideal filter analysis 5.4.1 phase function 5.4.2 ideal linear phase low-pass.