Wavelets are a new type of math transform replacing Fourier Series that provide you with powerful solutions for image compression and similar apps.
You can visit the Wavelets library page for related info.
Applied Wavelet Analysis with S-Plus ( Andrew Bruce ) Discrete Wavelet Transformations (Gerald Kaiser ) First Course in Wavelets ( Albert Boggess ) Fourier and Wavelet Analysis ( George Bachman ) Fractal and Wavelet Image Compression Technique ( S. Welstead ) Friendly Guide to Wavelets ( Patrick Van Fleet) Introduction to Fourier Analysis & Wavelets ( Graduate Matht ) Introduction to Wavelet Analysis ( David Walnut ) Introduction to Wavelet Transforms ( Ramesh Gopinath ) An Introduction to Wavelets ( Charles Chui ) Multirate and Wavelet Signal Processing ( Bruce Suter ) Multiscale Wavelet Methods for PDE ( Wolfgang Dahmen Primer on Wavelets and Scientific Apps ( James Walker) Ripples in Mathematics ( A. Jensen ) Signal and Image Representation in Combined... ( Y. Zeev ) Ten Lectures on Wavelets ( Ingrid Daubechies ) Wavelet Analysis for Image Processing ( L. Prasad ) Wavelet Basics (Y. Chan ) Wavelet Methods for Time Series Analysis ( Donald Percival ) Wavelet Theory and Pattern Recognition ( Yuan Y. Tan ) Wavelet Tour of Signal Processing ( Stephane Mallat ) Wavelet Transform Handbook ( Napler Addison ) Wavelet Transforms & Applications ( Lokenath Debnathr ) Wavelets: A Tutorial in Theory & Applications ( Charles Chui ) Wavelets: Theory, Algorithms & Applications ( C. Chui ) Wavelets Made Easy ( Yves Nievergelt ) World According to Wavelets ( Burke Hubbard )