DocumentCode :
1843421
Title :
Arithmetic coding based continuous error detection for efficient ARQ-based image transmission
Author :
Chou, Jim ; Ramchandran, Kannan
Author_Institution :
TRW Inc., Redondo Beach, CA, USA
Volume :
2
fYear :
1997
fDate :
2-5 Nov. 1997
Firstpage :
1005
Abstract :
Block cyclic redundancy check (CRC) codes are typically used to perform error detection in automatic repeat request (ARQ) protocols for data communications. Though efficient, CRCs can detect errors only after an entire block of data has been received and processed. In this work, we introduce a new "continuous" error detection scheme using arithmetic coding that provides a novel tradeoff between the amount of added redundancy and the amount of time needed to detect an error once it occurs. This method of error detection is achieved through the use of an arithmetic codec, and has the attractive feature that it can be combined physically with arithmetic source coding, which is widely used in state-of-the-art image coders. We analytically optimize the tradeoff between added redundancy and error-detection time, achieving significant gains in bit rate throughput over conventional ARQ schemes for binary symmetric channel models for all probabilities of error.
Keywords :
arithmetic codes; automatic repeat request; channel coding; error detection codes; error statistics; image coding; redundancy; source coding; visual communication; ARQ-based image transmission; arithmetic codec; arithmetic coding; automatic repeat request; binary symmetric channel models; bit rate throughput; continuous error detection; error probabilities; error-detection time; image coding; redundancy; source coding; Arithmetic; Automatic repeat request; Bit rate; Codecs; Cyclic redundancy check; Cyclic redundancy check codes; Data communication; Protocols; Source coding; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-8186-8316-3
Type :
conf
DOI :
10.1109/ACSSC.1997.679058
Filename :
679058
Link To Document :
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