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Volumn 32, Issue 4, 1986, Pages 526-532

Complexity of Strings in the Class of Markov Sources

Author keywords

[No Author keywords available]

Indexed keywords

CODES, SYMBOLIC - MATHEMATICAL MODELS; MATHEMATICAL TECHNIQUES - ALGORITHMS;

EID: 0022754340     PISSN: 00189448     EISSN: 15579654     Source Type: Journal    
DOI: 10.1109/TIT.1986.1057210     Document Type: Article
Times cited : (131)

References (20)
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  • 2
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  • 3
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    • Davisson, L.D.1
  • 4
    • 0020721990 scopus 로고
    • Minimax noiseless universal coding for Markov sources
    • L. D. Davisson, “Minimax noiseless universal coding for Markov sources,” IEEE Trans. Inform. Theory, vol. IT-29, pp. 211–215, 1983.
    • (1983) IEEE Trans. Inform. Theory , vol.IT-29 , pp. 211-215
    • Davisson, L.D.1
  • 6
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    • Universal codeword sets and representations of the integers
    • P. Elias, “Universal codeword sets and representations of the integers,” IEEE Trans. Inform. Theory, vol. IT-21, pp. 194–203, 1975.
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  • 7
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    • Robust noiseless source coding through game theoretic approach
    • D. Kazakos, “Robust noiseless source coding through game theoretic approach,” IEEE Trans. Inform. Theory, vol. IT-29, pp. 576–583, 1983.
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    • Kazakos, D.1
  • 8
    • 0001902056 scopus 로고
    • Three approaches to the quantitative definition of information
    • A. N. Kolmogorov, “Three approaches to the quantitative definition of information,” Probl. Inform. Transmis., vol. 1, pp. 4–7, 1965.
    • (1965) Probl. Inform. Transmis. , vol.1 , pp. 4-7
    • Kolmogorov, A.N.1
  • 10
    • 0016880887 scopus 로고
    • On the complexity of finite sequences
    • A. Lempel and J. Ziv, “On the complexity of finite sequences,” IEEE Trans. Inform. Theory vol. IT-22, pp. 75–81, 1974.
    • (1974) IEEE Trans. Inform. Theory , vol.IT-22 , pp. 75-81
    • Lempel, A.1    Ziv, J.2
  • 11
    • 84941444406 scopus 로고
    • The Theory of Information and Coding
    • MA: Addison-Wesley
    • R. J. McEliece, The Theory of Information and Coding. Reading, MA: Addison-Wesley, 1977.
    • (1977) Reading
    • McEliece, R.J.1
  • 13
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    • A universal prior for integers and estimation by minimum description length
    • J. Rissanen, “A universal prior for integers and estimation by minimum description length,” Ann. Statist. vol. 11, pp. 416–431, 1983.
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  • 14
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    • A universal data compression system
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  • 15
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    • Universal coding, information, prediction, and estimation
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  • 17
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.