Combined Reduced-Rank Transform

We propose and justify a new approach to constructing optimal nonlinear transforms of random vectors. We show that the proposed transform improves such characteristics of {rank-reduced} transforms as compression ratio, accuracy of decompression and reduces required computational work. The propose...

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Bibliographic Details
Main Authors: Anatoli Torokhti, Phil Howlett
Format: Article
Language:English
Published: National Academy of Science of Ukraine 2006-04-01
Series:Symmetry, Integrability and Geometry: Methods and Applications
Subjects:
Online Access:http://www.emis.de/journals/SIGMA/2006/Paper039/