Description
Adapted Wavelet Analysis
From Theory to Software
Author: Wickerhauser Mladen Victor
Language: EnglishSubject for Adapted Wavelet Analysis:
Keywords
Wavelet Packet; Llo Ca Te; Wavelet Packet Coefficients; Wavelet Packet Bases; Quadrature Filter; Wavelet Subspaces; Output Array; Time Frequency Atoms; Local Cosine; Tensor Products; Low Pass High Pass; Riesz Basis; Basis Subset; Input Array; Schwartz Function; Dwt; Library Tree; 2L Points; Hedge Level; Scaling Subspace; Littlewood Paley Decomposition; INI; Binary Tree; Orthonormal Basis; Schwartz Class
Approximative price 71.13 €
In Print (Delivery period: 14 days).
Add to cart the book of Wickerhauser Mladen Victor· 15.2x22.9 cm · Paperback
Description
/li>Contents
/li>Readership
/li>Biography
/li>Comment
/li>
Mladen Victor Wickerhauser is professor of mathematics and statistics at Washington University, St. Louis. He holds a PhD from Yale University. Professor Wickerhauser’s research interests include harmonic analysis, wavelets, and numerical algorithms for data compression. He has six US patents and 118 publications, one of which led to an algorithm used by the FBI to encode fingerprint images.