• DocumentCode
    2455335
  • 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
  • fYear
    2006
  • fDate
    Oct. 29 2006-Nov. 1 2006
  • Firstpage
    438
  • Lastpage
    442
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    1-4244-0784-2
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2006.354785
  • Filename
    4176595