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.
Home page url
Download or read it online for free here:
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 Alain Fournier
This text is intended to give the necessary mathematical background on wavelets, and explore the main current and potential applications to computer graphics. The emphasis is put on Fourier techniques, pyramidal schemes, and spline representations.
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.