Fourier and Wavelet Signal Processing
by Martin Vetterli, Jelena Kovacevic, Vivek K Goyal
Number of pages: 825
The aim of this book is to present, to a broad audience, mathematical tools and algorithms for signal representation. It comprehensively covers both classical Fourier techniques and newer basis constructions from filter banks and multiresolution analysis -- wavelets. Furthermore, it gives a synthetic view from basic mathematical principles, to construction of bases, all the way to concrete applications.
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by Willard Miller - University of Minnesota
Contents: Motivation through signal processing, analysis and synthesis; Vector Spaces with Inner Product; Fourier Series; The Fourier Transform; Discrete Fourier Transform; Linear Filters; Multiresolution Analysis; Wavelet Theory; Applications.
by M. C. Pereyra, M.J. Mohlenkamp - Ohio University
We present an introduction to the theory of wavelets with an emphasis in applications. The theory of wavelets is the latest comer to the world of signal processing (more than 20 years now). It grew and brewed in different areas of science.
by Martin Vetterli, Jelena Kovacevic - Prentice Hall PTR
A central goal of signal processing is to describe real life signals, be it for computation, compression, or understanding. This book presents a unified view of wavelets and subband coding with a signal processing perspective.
by Awad Kh. Al - Asmari (ed.) - InTech
This book presents a succinct compendium of some of the more recent variants of DWTs and their use in image processing, security, relatively newer areas of medicine, artificial intelligence, power systems and telecommunications.