Signals and Systems Primer with MATLAB / Edition 1

by Alexander D. Poularikas

Overview

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.

Product Details

ISBN-13:	9780849372674
Publisher:	Taylor & Francis
Publication date:	12/21/2006
Series:	Electrical Engineering & Applied Signal Processing Series , #20
Pages:	676
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Alexander D. Poularikas

Table of Contents

Signals and Their Functional Representation. Linear Continuous-Time Systems. Discrete Systems. Periodic Continuous Signals and Their Spectrums. Nonperiodic Signals and Their Fourier Transform. Sampling of Continuous Signals. Discrete-Time Transforms. Laplace Transform. The Z-Transform, Difference Equations, and Discrete Systems. Analog Filter Design. Finite Impulse Response (FIR) Filters. Infinite Impulse Response (IIR) Filters. Random Variables, Sequences, and Power Spectra Densities. Least Square System Design, Wiener Filter, and the LMS Filter. Appendices.

Editorial Reviews

"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

From the Publisher