• DocumentCode
    943789
  • Title

    On the capacity of a noisy continuous channel

  • Author

    Muroga, Saburo

  • Volume
    3
  • Issue
    1
  • fYear
    1957
  • fDate
    3/1/1957 12:00:00 AM
  • Firstpage
    44
  • Lastpage
    51
  • Abstract
    The capacity of a noisy continuous channel is discussed in both cases where the signal transmitted over the channel is expressible by a process with mutually independent random variables and where it is expressible by a Markov process. Unlike discrete channels, continuous channels impose certain restrictions on transmitter power in general. In the case of a continuous channel under disturbance of additive noise, a theorem on the capacity in terms of channel parameters is obtained and applied. Then in the general case of a Markov process a general procedure to calculate the capacity is shown.
  • Keywords
    Information theory; Additive noise; Channel capacity; Density functional theory; Frequency; Helium; Information theory; Integral equations; Markov processes; Probability; Random variables; Sampling methods; Signal processing; Telegraphy; Transmitters;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IRE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-1000
  • Type

    jour

  • DOI
    10.1109/TIT.1957.1057393
  • Filename
    1057393