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J.C. Kieffer, Private Correspondence.

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Pattern Matching Image Compression: Algorithmic and.. - Atallah.. (1996)   (6 citations)  (Correct)

....deleting the first row from the previous database. In the enlarged database scheme discussed in this section, the compression ratio r can be approximated by r = length of the overhead information length of repeated subword = log n log L n L n : 2) However, Kieffer in a private correspondence [15] pointed out that a precise estimation of the compression ratio is more complicated. Indeed, let X (k) be the database after the kth application of the above procedure. Observe that X (k 1) X (k) X jX (k) j L jX (k) jX (k) j 1 (3) where denotes concatenation. Then, the ....

.... first and second moment methods along the lines of arguments used in [19] The almost sure convergence of log N = is proved in [29] while the lack of almost sure convergence of L n = log n is established in [19] Finally, 10) is a simple consequence of (2) and (8) We conjecture after Kieffer [15] that the compression ratio as defined in (4) also converges almost surely to r 0 (D) In [18, 19] the R enyi entropy r 0 (D) was computed for memoryless sources and Hamming distance. In Figure 1 we compared it to the optimal rate distortion R(D) h D log D (1 Gamma D) log(1 Gamma D) where ....

J.C. Kieffer, Private Correspondence.


Pattern Matching Image Compression: Algorithmic and.. - Atallah, Genin.. (1995)   (6 citations)  (Correct)

....deleting the first row from the previous database. In the enlarged database scheme discussed in this section, the compression ratio r can be approximated by r = length of the overhead information length of repeated subword = log n log L n L n : 2) However, Kieffer in a private correspondence [15] pointed out that a precise estimation of the compression ratio is more complicated. Indeed, let X (k) be the database after the kth application of the above procedure. Observe that X (k 1) X (k) X jX (k) j L jX (k) jX (k) j 1 (3) where denotes concatenation. Then, the ....

.... first and second moment methods along the lines of arguments used in [19] The almost sure convergence of log N = is proved in [29] while the lack of almost sure convergence of L n = log n is established in [19] Finally, 10) is a simple consequence of (2) and (8) We conjecture after Kieffer [15] that the compression ratio as defined in (4) also converges almost surely to r 0 (D) In [18, 19] the R enyi entropy r 0 (D) was computed for memoryless sources and Hamming distance. In Figure 1 we compared it to the optimal rate distortion R(D) h D log D (1 Gamma D) log(1 Gamma D) where ....

J.C. Kieffer, Private Correspondence.

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