• DocumentCode
    2056009
  • Title

    On near-capacity coding systems for partial-response channels

  • Author

    Soriaga, Joseph B. ; Siegel, Paul H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
  • fYear
    2004
  • fDate
    27 June-2 July 2004
  • Firstpage
    267
  • Abstract
    We present a near-capacity coding system for higher-order partial-response channels, consisting of an outer set of interleaved low-density parity-check codes, an inner rate-1 shaping code, and a multistage decoder. The inner shaping code, which may be noninvertible, is designed to generate an output process similar to a binary Markov process that maximizes the mutual information for a given order. On the EPR4 channel, our system exhibits an iterative decoding threshold and a simulation BER of 10-5 within 0.19 and 0.33 dB, respectively, of the information-theoretic limit for a third-order input process.
  • Keywords
    Markov processes; channel capacity; error statistics; interleaved codes; iterative decoding; parity check codes; partial response channels; BER; EPR4 channel; binary Markov process; information-theoretic limit; inner rate-1 shaping code; interleaved low-density parity-check codes; iterative decoding threshold; multistage decoder; mutual information; near-capacity coding systems; partial-response channels; Bit error rate; Design optimization; Detectors; Information rates; Iterative decoding; Markov processes; Matched filters; Memoryless systems; Mutual information; Parity check codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
  • Print_ISBN
    0-7803-8280-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2004.1365300
  • Filename
    1365300