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Edité par Orchard Publications, 2003
ISBN 10 : 0970951167ISBN 13 : 9780970951168
Vendeur : ThriftBooks-Atlanta, AUSTELL, GA, Etats-Unis
Livre
Paperback. Etat : Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 3.55.
Edité par Scientific publishing, 2007
ISBN 10 : 7030101367ISBN 13 : 9787030101365
Vendeur : liu xing, Nanjing JiangSu, JS, Chine
Livre
paperback. Etat : New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Signals and systems based - Application Web and MATLAB ( second edition )Four Satisfaction guaranteed,or money back.
Edité par Publishing House, 2000
ISBN 10 : 750537589XISBN 13 : 9787505375895
Vendeur : liu xing, Nanjing JiangSu, JS, Chine
Livre
paperback. Etat : Good. 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.
Vendeur : liu xing, Nanjing JiangSu, JS, Chine
paperback. Etat : New. Pub Date :2002-03-01 Pages: 722 Publisher: Science Press book system defined by the differential and difference equations. convolution. Fourier series and transform the system of frequency domain analysis. communications applications . the analysis of the discrete-time signal. the digital filter and the design of the controller. the status indicates the like. Contents: 1.Fundamental concepts2.Systems defined by differential or difference equations3.convolution representation4.The fourier seri.
Edité par John Wiley & Sons, 2023
ISBN 10 : 1119809134ISBN 13 : 9781119809135
Vendeur : moluna, Greven, Allemagne
Livre
Gebunden. Etat : New. Anders Hansson, PhD, is a Professor in the Department of Electrical Engineering at Linkoeping University, Sweden. His research interests include the fields of optimal control, stochastic control, linear systems, signal processing, applications of control, an.