On variable-length-to-block coding

Variable-length-to-block codes are a generalization of run-length codes. A coding theorem is first proved. When the codes are used to transmit information from fixed-rate sources through fixed-rate noiseless channels, buffer overflow results. The latter phenomenon is an important consideration in th...

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Published inIEEE transactions on information theory Vol. 18; no. 6; pp. 765 - 774
Main Authors Jelinek, F., Schneider, K.
Format Journal Article
LanguageEnglish
Published IEEE 01.11.1972
Subjects
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ISSN0018-9448
1557-9654
DOI10.1109/TIT.1972.1054899

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Abstract Variable-length-to-block codes are a generalization of run-length codes. A coding theorem is first proved. When the codes are used to transmit information from fixed-rate sources through fixed-rate noiseless channels, buffer overflow results. The latter phenomenon is an important consideration in the retrieval of compressed data from storage. The probability of buffer overflow decreases exponentially with buffer length and we determine the relation between rate and exponent size for memoryless sources. We obtain codes that maximize the overflow exponent for any given transmission rate exceeding the source entropy and present asymptotically optimal coding algorithms whose complexity grows linearly with codeword length. It turns out that the optimum error exponents of variable-length-to-block coding are identical with those of block-to-variable-length coding and are related in an interesting way to Renyi's generalized entropy function.
AbstractList Variable-length-to-block codes are a generalization of run-length codes. A coding theorem is first proved. When the codes are used to transmit information from fixed-rate sources through fixed-rate noiseless channels, buffer overflow results. The latter phenomenon is an important consideration in the retrieval of compressed data from storage. The probability of buffer overflow decreases exponentially with buffer length and we determine the relation between rate and exponent size for memoryless sources. We obtain codes that maximize the overflow exponent for any given transmission rate exceeding the source entropy and present asymptotically optimal coding algorithms whose complexity grows linearly with codeword length. It turns out that the optimum error exponents of variable-length-to-block coding are identical with those of block-to-variable-length coding and are related in an interesting way to Renyi's generalized entropy function.
Author Jelinek, F.
Schneider, K.
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Cites_doi 10.1109/TIT.1966.1053907
10.1214/aoms/1177706108
10.1109/TIT.1968.1054193
10.1109/TIT.1968.1054147
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References jelinek (ref1) 1968
ref9
schneider (ref4) 1970
ref3
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kemperman (ref10) 1961
tunstall (ref7) 1968
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  publication-title: Synthesis of noiseless compression codes
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  publication-title: Reliable data compression of constant rate Markov sources for fixed rate channels
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  publication-title: Personal communication
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StartPage 765
SubjectTerms Buffer overflows
Channel coding
Codes
Complexity theory
Data compression
Decoding
Entropy
Random variables
Symbols
Terminology
Title On variable-length-to-block coding
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