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 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 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.
by Veronique Delouille - Connexions
An overview of multiresolution analysis, wavelet series and wavelet estimators in the classical setting. This text begins by investigating notations, multiresolution analysis, wavelet functions as well as some simple examples of wavelet bases.