Iterative joint source/channel decoding for JPEG2000

Conference Record of the Asilomar Conference on Signals, Systems and Computers

Volumn 2, Issue , 2003, Pages 1961-1965

  Pu, Lingling ^a   Wu, Zhenyu ^a   Bilgin, Ali ^a   Marcellin, Michael W ^a   Vasic, Bane ^a  

^a University of Arizona   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHANNEL DECODING; CONVERGENCE RATES; ERROR RESILIENCE (ER); SYSTEM PERFORMANCE;

CONVERGENCE OF NUMERICAL METHODS; ERROR ANALYSIS; INFORMATION ANALYSIS; ITERATIVE METHODS; MATRIX ALGEBRA; PROBABILITY; VECTORS;

DECODING;

EID: 4143128030     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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2. Z. Peng, Y. Huang, and D. Costello, "Turbo codes for image transmission-a joint channel and source decoding approach," IEEE Journal on Selected Areas in Communcations, vol. 18, pp. 868-879, Jun. 2000.
3. D. Taubman and M. Marcellin, JPEG2000: Image compression fundamentals, Standards and practice. Kluwer Academic Publishers, 2002.
4. R. G. Gallager, "Low-density parity-check codes," IRE Transactions on Information Theory, vol. IT-8, pp. 21-28, Jan. 1962.
5. D. MacKay and R. Neal, "Good codes based on very sparse matrices," in Proceedings, 5th IMA Conference Cryptography and coding, (Berlin, Germany), 1995. Springer Lecture Notes in Computer Science.
6. D. MacKay, "Good error-correcting codes based on very sparse matrices," IEEE Transactions on Information Theory, vol. 45, pp. 399-431, Mar. 1999.
7. R. M. Tanner, "A recursive approach to low-complexity codes," IEEE Transactions on Information Theory, vol. 27, pp. 533-547, 1981.
8. Available online: www.kakadusoftware.com.