• DocumentCode
    892621
  • Title

    Gaussian feedback capacity

  • Author

    Cover, Thomas M. ; Pombra, Sandeep

  • Author_Institution
    Dept. of Electr. Eng. & Stat., Stanford Univ., CA, USA
  • Volume
    35
  • Issue
    1
  • fYear
    1989
  • fDate
    1/1/1989 12:00:00 AM
  • Firstpage
    37
  • Lastpage
    43
  • Abstract
    The capacity of time-varying additive Gaussian noise channels with feedback is characterized. Toward this end, an asymptotic equipartition theorem for nonstationary Gaussian processes is proved. Then, with the aid of certain matrix inequalities, it is proved that the feedback capacity CFB in bits per transmission and the nonfeedback capacity C satisfy C⩽CFB ⩽2C and C⩽CFB⩽ C+1/2
  • Keywords
    channel capacity; feedback; information theory; asymptotic equipartition theorem; feedback; feedback capacity; information theory; nonfeedback capacity; nonstationary Gaussian processes; time-varying additive Gaussian noise channels; Additive noise; Channel capacity; Decoding; Entropy; Feedback; Gaussian distribution; Gaussian noise; Gaussian processes; Integrated circuit noise; Linear matrix inequalities;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.42174
  • Filename
    42174
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=892621