
Signals and Systems Primer with MATLAB
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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.
Reviews / Votes
"The book is written with a high pedagogical mastership; the style of exposition is clear and attractive, the typographical presentation is excellent . . . Much valuable information is contained in the book at a moderate mathematical level . . . we think the present volume is an excellent book on SS and can be a serious candidate for a reference book in presenting the SS domain."- Dumitru Stanomir,in Zentralblatt Math, 2009
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