Title :
Vandermonde-form Preserving Matrices And The Generalized Signal Richness Preservation Problem
Author :
Su, Borching ; Vaidyanathan, P.P.
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA
fDate :
Oct. 29 2006-Nov. 1 2006
Abstract :
In this paper, a theoretical problem arising in digital communications, namely the generalized signal richness preservation problem, is addressed and studied. In order to solve the problem, a special class of square matrices, namely the ldquoVandermonde-form preservingrdquo (VFP) matrices, is introduced and found to be highly relevant to the problem. Several properties of VFP matrices are studied in detail. The necessary and sufficient conditions of the problem have been found and a systematic proof is also presented.
Keywords :
blind source separation; channel estimation; digital communication; matrix algebra; Vandermonde-form preserving matrices; blind channel identification; digital communication; generalized signal richness preservation problem; square matrices; Digital communication; Signal processing; Sufficient conditions; Transmitters; Vectors;
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2006.354785
