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Interval and Recency Rank Source Coding: Two On-Line Adaptive Variable-Length Schemes (1987)  (Make Corrections)  (15 citations)
Peter Elias
IEEE Transactions on Information Theory



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Abstract: In the schemes presented the encoder maps each message into a codeword in a prefix-free codeword set. In interval encoding the codeword is indexed by the interval since the last previous occurrence of that message, and the codeword set must be countably infinite. In recency rank encoding the codeword is indexed by the number of distinct messages in that interval, and there must be no fewer codewords than messages. The decoder decodes each codeword on receipt. Users need not know message... (Update)

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...using any general purpose compression technique. In section 6. 1, we show results for two di erent compression schemes: Move To Front [3, 5] followed by Hu man coding [9] and Gzip (a variant of LZ77 [16] distributed by the Gnu Free Software Foundation) Move To Front performs...

.... (to be encoded by their list position) using the move to front and transpose self organizing list strategies, respectively [BSTW86, E87, R87, HC87]. Systolic array implementations for transpose and move to front compression have been described [SH92, TW89] Related work on...

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0.3:   Optimal Lossless Compression of a Class of Dynamic Sources - Reif, Storer (1997)   (Correct)
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BibTeX entry:   (Update)

Elias, P. Interval and recency rank source coding: two on-line adaptive variable-length schemes. IEEE Trans. Inform. Theory IT-33, 1 (Jan., 1987), 3--10. http://citeseer.ist.psu.edu/elias87interval.html   More

@article{ elias87interval,
    author = "Peter Elias",
    title = "Interval and Recency Rank Source Coding: Two On-line Adaptive Variable-length Schemes",
    journal = "IEEE Transactions on Information Theory",
    volume = "33",
    number = "1",
    year = "1987",
    url = "citeseer.ist.psu.edu/elias87interval.html" }
Citations (may not include all citations):
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49   the complexity of finite sequences (context) - Lempel, Ziv - 1976
32   Linear algorithm for data compression via string matching (context) - Rodeh, Even - 1981
13   A universal algorithm for data compression (context) - Ziv, Lempel - 1977
12   Coding theorems for individual sequences (context) - Ziv - 1978
10   Parallel algorithms for data compression (context) - onzalez, Storer - 1985
9   An upper bound on the entropy series (context) - Wyner - 1972
9   Economical encoding of commas between strings (context) - Even, Rodeh - 1978
6   IEEE Trans (context) - Universal, representations et al. - 1975
5   Variations on a theme by Lempel and Ziv (context) - Miller, Wegman
3   Minimum times and memories needed to compute the values of a.. (context) - Elias - 1974
1   Variations on a theme by Huffman (context) - allager - 1978
1   An almost optimal algorithm foJ unbounded searching (context) - Bentley, Yao - 1976
1   A source matching approad to finding minimax codes (context) - Davisson, Leon-Garcia - 1980
1   IEEE Tram (context) - Minimax, codeword - 1983
1   Minimax codes for finite alphabets (context) - ssanen - 1978
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1   On self-organizing search heuristics (context) - vest - 1976
1   The redundancy and decceleration of a separative encoding of.. (context) - Levenstein - 1968
1   A local13 adaptive data compression scheme (context) - Bentley, Sleator et al. - 1984
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A Universal Algorithm for Sequential Data Compression - Ziv, Lempel (1977)   (Correct)
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A New Universal Coding Scheme for the Binary Memoryless Source - Lawrence (1977)   (Correct)

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