An Introduction to Wavelet Analysis
by Veronique Delouille
Publisher: Connexions 2009
Number of pages: 38
An Introduction to Wavelet Analysis provides an overview of multiresolution analysis, wavelet series and wavelet estimators in the classical setting. This collection begins by investigating notations, multiresolution analysis, wavelet functions as well as some simple examples of wavelet bases, and concludes by looking at how to construct a nonparametric regression estimator using wavelets.
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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 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.
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.