A coding theorem for lossy data compression by LDPC codes

نویسندگان

  • Yuko Matsunaga
  • Hirosuke Yamamoto
چکیده

In this correspondence, low-density parity-check (LDPC) codes are applied to lossy source coding and we study how the asymptotic performance of MacKay’s LDPC codes depends on the sparsity of the parity-check matrices in the source coding of the binary independent and identically distributed (i.i.d.) source with Pr = 1 = 0 5. In the sequel, it is shown that an LDPC code with column weight (log ) for code length can attain the rate-distortion function asymptotically.

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عنوان ژورنال:
  • IEEE Trans. Information Theory

دوره 49  شماره 

صفحات  -

تاریخ انتشار 2003