Continuous And Discrete Time Signals And Systems International Student Edition


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Continuous and Discrete Time Signals and Systems with CD-ROM


Continuous and Discrete Time Signals and Systems with CD-ROM

Author: Mrinal Mandal

language: en

Publisher: Cambridge University Press

Release Date: 2007-08-30


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Introductory textbook on the fundamental concepts of continuous-time and discrete-time signals and systems, self-contained for independent or combined teaching approaches. Includes a CD-ROM containing MATLAB code and various signals. Contains worked examples, homework problems (solutions for instructors online) and extensive illustrations. Suitable for undergraduates in electrical and computer engineering.

Continuous and Discrete Signals and Systems


Continuous and Discrete Signals and Systems

Author: Samir S. Soliman

language: en

Publisher:

Release Date: 1990


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Continuous-Time Systems


Continuous-Time Systems

Author: Yuriy Shmaliy

language: en

Publisher: Springer Science & Business Media

Release Date: 2007-09-23


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Continuous-Time Systems is a description of linear, nonlinear, time-invariant, and time-varying electronic continuous-time systems. As an assemblage of physical or mathematical components organized and interacting to convert an input signal (also called excitation signal or driving force) to an output signal (also called response signal), an electronic system can be described using different methods offered by the modern systems theory. To make possible for readers to understand systems, the book systematically covers major foundations of the systems theory. First, the quantitative and qualitative methods of systems description are presented along with the stability analysis. The representation of linear time-invariant systems in the time domain is provided using the convolution, ordinarily differential equations (ODEs), and state space. In the frequency domain, these systems are analyzed using the Fourier and Laplace transforms. The linear time-varying systems are represented using the general convolution, ODEs, and state space. The nonlinear time-invariant systems are described employing the Taylor and Volterra series expansions, ODEs, state space, and approximate methods such as averaging, equivalent linearization, and describing function. Finally, the representation of nonlinear time-varying systems is given using the Taylor and Volterra series, ODEs, modulation functions method, and state space modelling. Review of matrix theory and other useful generalizations are postponed to Appendices.