Author : Andreas Antoniou
Release : 2018-02-01
Genre : Technology & Engineering
Kind : eBook
Book Rating : 035/5 ( reviews)
Book Synopsis Digital Filters: Analysis, Design, and Signal Processing Applications by : Andreas Antoniou
Download or read book Digital Filters: Analysis, Design, and Signal Processing Applications written by Andreas Antoniou. This book was released on 2018-02-01. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. 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
