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 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.
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From the contents: Progressive-Regressive Strategy for Biometrical Authentication; Resolution Enhancement Based Image Compression Technique; Adaptive Wavelet Packet Transform; Scaling Factor Threshold Estimator in Different Color Models; and more.
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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.
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