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Up-to-date digital filter design principles, techniques, and applications
Written by a Life Fellow of the IEEE, this comprehensive textbook teaches digital filter design, realization, and implementation and provides detailed illustrations and real-world applications of digital filters to signal processing. Digital Filters: Analysis, Design, and Signal Processing Applications provides a solid foundation in the fundamentals and concepts of DSP and continues with state-of-the-art methodologies and algorithms for the design of digital filters.
You will get clear explanations of key topics such as spectral analysis, discrete-time systems, and the sampling process. This hands-on resource is supported by a rich collection of online materials which include PDF presentations, detailed solutions of the end-of-chapter problems, MATLAB programs that can be used to analyze and design digital filters of professional quality, and also the author's DSP software D-Filter.
Coverage includes:
-Discrete-time systems
-The Fourier series and transform
-The Z transform
-Application of transform theory to systems
-The sampling process
-The discrete Fourier transform
-The window technique
-Realization of digital filters
-Design of recursive and nonrecursive filters
-Approximations for analog filters
-Recursive filters satisfying prescribed specifications
-Effects of finite word length on digital filters
-Design of recursive and nonrecursive filters using optimization methods
-Wave digital filters
-Signal processing applications
About the Author: Andreas Antoniou, Ph.D., is a Fellow of the IET and a Life Fellow of the IEEE. He taught at Concordia University from 1970 to 1983, and was the founding Chair and Professor in the Department of Electrical and Computer Engineering at the University of Victoria until his retirement in 2003. Dr. Antoniou is the author of Digital Filters: Analysis, Design and Applications and co-author of Two-Dimensional Digital Filters & Practical Optimization: Algorithms and Engineering Applications.
