• DocumentCode
    1845124
  • Title

    Voice channel

  • Author

    Iyengar, Garud N.

  • Author_Institution
    Inf. Syst. Lab., Stanford Univ., CA, USA
  • Volume
    2
  • fYear
    1997
  • fDate
    2-5 Nov. 1997
  • Firstpage
    1354
  • Abstract
    In this work we introduce and offer a partial solution to the voice channel problem. The usual channel capacity problem involves choosing appropriate signals to communicate over a fixed channel. In contrast, the voice channel problem involves choosing appropriate channels or filters to modulate a random input signal from a known distribution. We want to characterize the set of distinguishable filters that maximize the information transmitted. The solution to this problem has tie-ins with achievable rates on Gaussian fading channels and multipath channels.
  • Keywords
    Gaussian channels; channel capacity; filtering theory; multipath channels; voice communication; Gaussian fading channels; channel capacity; distinguishable filters; multipath channels; partial solution; random input signal modulation; voice channel problem; Speech communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-8316-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.1997.679124
  • Filename
    679124