Solutions manual

Solutions manual
Author: Edward W. Kamen
Publisher: Simon & Schuster Books For Young Readers
Total Pages: 419
Release: 1997
Genre: MATLAB.
ISBN: 9780023619434


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Solutions Manual

Solutions Manual
Author: Naveed Malik
Publisher:
Total Pages:
Release: 1983
Genre:
ISBN:


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Signals and Systems

Signals and Systems
Author: Oktay Alkin
Publisher: CRC Press
Total Pages: 1116
Release: 2016-04-19
Genre: Computers
ISBN: 1466598549


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Drawing on the author's 25+ years of teaching experience, Signals and Systems: A MATLAB Integrated Approach presents a novel and comprehensive approach to understanding signals and systems theory. Many texts use MATLAB as a computational tool, but Alkin's text employs MATLAB both computationally and pedagogically to provide interactive, visual rein

Signals and Systems Primer with MATLAB

Signals and Systems Primer with MATLAB
Author: Alexander D. Poularikas
Publisher: CRC Press
Total Pages: 680
Release: 2018-10-03
Genre: Technology & Engineering
ISBN: 1420006959


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Signals and Systems Primer with MATLAB® equally emphasizes the fundamentals of both analog and digital signals and systems. To ensure insight into the basic concepts and methods, the text presents a variety of examples that illustrate a wide range of applications, from microelectromechanical to worldwide communication systems. It also provides MATLAB functions and procedures for practice and verification of these concepts. Taking a pedagogical approach, the author builds a solid foundation in signal processing as well as analog and digital systems. The book first introduces orthogonal signals, linear and time-invariant continuous-time systems, discrete-type systems, periodic signals represented by Fourier series, Gibbs's phenomenon, and the sampling theorem. After chapters on various transforms, the book discusses analog filter design, both finite and infinite impulse response digital filters, and the fundamentals of random digital signal processing, including the nonparametric spectral estimation. The final chapter presents different types of filtering and their uses for random digital signal processing, specifically, the use of Wiener filtering and least mean squares filtering. Balancing the study of signals with system modeling and interactions, this text will help readers accurately develop mathematical representations of systems.