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 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.
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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.
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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.