Wavelets and Subband Coding
by Martin Vetterli, Jelena Kovacevic
Publisher: Prentice Hall PTR 1995
Number of pages: 519
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. Covers the discrete-time case, development of wavelets, continuous wavelet and local Fourier transforms, efficient algorithms for computations, and signal compression.
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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 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.