• DocumentCode
    3506224
  • Title

    Theory of Large Dimensional Random Matrices for Engineers

  • Author

    Silverstein, Jack W. ; Tulino, Antonia M.

  • Author_Institution
    Dept. of Math., North Carolina State Univ., Raleigh, NC
  • fYear
    2006
  • fDate
    28-31 Aug. 2006
  • Firstpage
    458
  • Lastpage
    464
  • Abstract
    In the last few years, the asymptotic distribution of the singular values of certain random matrices has emerged as a key tool in the analysis and design of wireless communication channels. These channels are characterized by random matrices that admit various statistical descriptions depending on the actual application. The goal of this paper is the investigation and application of random matrix theory with particular emphasis on the asymptotic theorems on the distribution of the squared singular values under various assumption on the joint distribution of the random matrix entries
  • Keywords
    matrix algebra; statistical analysis; wireless channels; asymptotic theorem; joint distribution; large dimensional random matrix theory; squared singular value distribution; statistical description; wireless communication channel; Fading; Information theory; Mathematics; Multiaccess communication; Neural networks; Physics; Sensor arrays; Statistical distributions; Vectors; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spread Spectrum Techniques and Applications, 2006 IEEE Ninth International Symposium on
  • Conference_Location
    Manaus-Amazon
  • Print_ISBN
    0-7803-9779-7
  • Electronic_ISBN
    0-7803-9780-0
  • Type

    conf

  • DOI
    10.1109/ISSSTA.2006.311814
  • Filename
    4100603