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 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 Dumitru Baleanu (ed.) - InTech
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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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.
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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.