• DocumentCode
    1652501
  • Title

    VLSI implementation-oriented (3, k)-regular low-density parity-check codes

  • Author

    Zhang, Tong ; Parhi, Keshab K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    25
  • Lastpage
    36
  • Abstract
    In the past few years, Gallager´s low-density parity-check (LDPC) codes received a lot of attention and many efforts have been devoted to analyzing and improving their error-correcting performance. However, little consideration has been given to the LDPC decoder VLSI implementation. The straightforward fully parallel decoder architecture usually incurs too high complexity for many practical purposes and should be transformed to a partly parallel realization. Unfortunately, due to the randomness of LDPC codes, it is nearly impossible to develop an effective transformation for an arbitrarily given LDPC code. We propose a joint code and decoder design approach to construct a class of (3, k)-regular LDPC codes which exactly fit a partly parallel decoder implementation and have a very good performance. Moreover, for such LDPC codes, we propose a systematic, efficient encoding scheme by effectively exploiting the sparseness of its parity check matrix
  • Keywords
    VLSI; decoding; error correction codes; parallel processing; sparse matrices; (3, k)-regular low-density parity-check codes; VLSI implementation; code design; decoder design; error-correcting coding scheme; parity check matrix; partly parallel decoder; sparseness; Computer errors; Decoding; Encoding; Hardware; Magnetic memory; Parity check codes; Performance analysis; Prototypes; Random number generation; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems, 2001 IEEE Workshop on
  • Conference_Location
    Antwerp
  • ISSN
    1520-6130
  • Print_ISBN
    0-7803-7145-3
  • Type

    conf

  • DOI
    10.1109/SIPS.2001.957328
  • Filename
    957328