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Title

Filter Design for Signal Processing Using MATLAB and Mathematica
Authors

Miroslav D. Lutovac
Organization: University of Belgrade
Department: School of Electrical Engineering
URL: http://kondor.etf.bg.ac.yu/~lutovac
Dejan V. Tosic
Organization: University of Belgrade
Department: School of Electrical Engineering
URL: http://kondor.etf.bg.ac.yu/~tosic
Brian L. Evans
Organization: University of Texas
Department: Department of Electrical and Computer Engineering
URL: http://www.ece.utexas.edu/~bevans/
Book information

Publisher: Prentice Hall
Copyright year: 2001
ISBN: 0201361302
Medium: Hardcover
Pages: 756
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Book cover image
Contents

Signals | Systems | Transforms | Classic Analog Filter Design | Advanced Analog Filter Design Case Studies | Advanced Analog Filter Design Algorithms | Multicriteria Optimization of Analog Filter Designs | Classic Digital Filter Design | Advanced Digital Filter Design Case Studies | Advanced Digital Filter Design Algorithms | Multicriteria Optimization of Digital Filter Designs | Elliptic Functions | Elliptic Rational Function | Appendix A: Example Mathematica Notebooks
Description

This book bridges the gap between filter theory and practice, presenting newly developed algorithms and designs. The emphasis is given to automating filter design in software, not to studying general filter theory. Students using this book are assumed to have a basic background in calculus, complex numbers, and differential equations. Mathematica and optimization routines are used to produce a new method of filter design, including ready-to-use filter design algorithms and implementations of the algorithms in Mathematica. A notable feature of the book is a detailed step-by-step exposure to the filter analysis by transform method, exemplified by self-contained Mathematica notebooks. Students can use these notebooks to automate symbolic filter analysis and design in software, to derive closed-form expressions, and to gain insight into the relevant filter design parameters and coefficients.
Subject

*Engineering > Signal Processing