Fourier and Wavelet Signal Processing
by Martin Vetterli, Jelena Kovacevic, Vivek K Goyal
Number of pages: 825
The aim of this book is to present, 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. Furthermore, it gives a synthetic view from basic mathematical principles, to construction of bases, all the way to concrete applications.
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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 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.