1981
DOI: 10.1109/tit.1981.1056355
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Efficient universal noiseless source codes

Abstract: Abstract-Although the existence of universal noiseless variable-rate codes for the class of discrete stationary ergodic sources has previously been established, very few practical universal encoding methods are available. Efficient implementable universal source coding techniques are discussed in this paper. Results are presented on source codes for which a small value of the maximum redundancy is achieved with a relatively short block length. A constructive proof of the existence of universal noiseless codes … Show more

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Cited by 55 publications
(28 citation statements)
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“…Let I n k be the class of all i.i.d. distributions over k elements and block length n. Redundancy of I n k has been extensively studied [4][5][6][7][8][9][10][11]. It is now well established that 1) For k = o(n)…”
Section: Introductionmentioning
confidence: 99%
“…Let I n k be the class of all i.i.d. distributions over k elements and block length n. Redundancy of I n k has been extensively studied [4][5][6][7][8][9][10][11]. It is now well established that 1) For k = o(n)…”
Section: Introductionmentioning
confidence: 99%
“…Lemma 3.4 is a combination of results which essentially go back to [23] and [6]. The proof is similar to the proof of [16], Lemma 3.4 and thus omitted.…”
Section: Proposition 33 Under the Assumptions And Notations Of Theoremmentioning
confidence: 84%
“…Let us fix (k, m) ∈ N × N and denote by Q k,m the coding probability KT k,m or NML k,m . Let us recall that τ is defined by (6). Then the following bounds hold:…”
Section: Proposition 33 Under the Assumptions And Notations Of Theoremmentioning
confidence: 99%
“…for a certain non-negative function g and positive constant q such that 8 We refer to this kind of density as a generalized multivariate Cauchy density, because the multivariate Cauchy density is obtained as a special case where g(x) = x 2 and q = 1 2 (n + 1). Using the Laplace transform relation,…”
Section: A Differential Entropy For Generalized Multivariate Cauchy mentioning
confidence: 99%