Wavelets, their friends, and what they can do for you
by M. C. Pereyra, M.J. Mohlenkamp
Publisher: Ohio University 2004
Number of pages: 46
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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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 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.
by Martin Vetterli, Jelena Kovacevic, Vivek K Goyal
This book presents, 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.
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.