[1989] Proceedings of the Thirteenth Annual International Computer Software &Amp; Applications Conference
DOI: 10.1109/cmpsac.1989.65102
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Enhancements to Ziv-Lempel data compression

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Cited by 5 publications
(6 citation statements)
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“…The algorithms appearing on the x-axis of Figure 1 are, in order, the byte-level move-to-front code MTF1, the Berkeley Unix "compact" utility (an adaptive Huffman code), our TW1 algorithm (described later in this paper), a Lempel-Ziv-Welch variant (actually Berkeley Unix "compress -12"), our TW2 algorithm, the Berkeley Unix "compress" command (another Lempel-Ziv-Welch variant), the Bentley-Sleator-Tarjan-Wei algorithm described above, and the high compression but low bandwidth Ziv-Lempel variant described in a recent tech report [10].…”
Section: Move-to-front Codesmentioning
confidence: 98%
See 1 more Smart Citation
“…The algorithms appearing on the x-axis of Figure 1 are, in order, the byte-level move-to-front code MTF1, the Berkeley Unix "compact" utility (an adaptive Huffman code), our TW1 algorithm (described later in this paper), a Lempel-Ziv-Welch variant (actually Berkeley Unix "compress -12"), our TW2 algorithm, the Berkeley Unix "compress" command (another Lempel-Ziv-Welch variant), the Bentley-Sleator-Tarjan-Wei algorithm described above, and the high compression but low bandwidth Ziv-Lempel variant described in a recent tech report [10].…”
Section: Move-to-front Codesmentioning
confidence: 98%
“…The Unix utility provides very good compression (46-70% on our text files) at a moderately-high input bandwidth (30 Kbytes/second on a 1 MIPS machine such as a Sun-3). Recent research indicates that higher compression ratios, up to 83%, can be obtained either by the high-order Markov models of Cleary and Witten [3] and Rissanen [9], or by improved versions of 'compress' [10,5]. The high-order Markov models are hampered by their multi-megabyte *Supported by the National Science Foundation, through its Design, Tools data structures.…”
Section: Introductionmentioning
confidence: 99%
“…The Unix utility provides v e r y good compression (46-70% on our text files) at a moderately-high input bandwidth (30 Kbytes/second on a 1 MIPS machine such as a Sun-3). Recent research indicates that higher compression ratios, up to 83%, can be obtained either by the high-order Markov models of Cleary and Witten [3] and Rissanen [9], or by improved versions of 'compress' [10,5]. The high-order Markov models are hampered by their multi-megabyte *Supported by the National Science Foundation, through its Design, Tools and Test Program under grant number MIP 87-06139.…”
Section: Introductionmentioning
confidence: 99%
“…Like MWP, Rogers-Thomborson code RT [20] uses a back-end coder to transmit frequentlyused codewords with fewer bits than the rarely-used ones. Since RT uses an arithmetic code rather than a static Huffman code, however, it is very slow.…”
Section: Mwp Ofmentioning
confidence: 99%
“…Section 4 lists the compression ratios obtained by a sample V.42bis implementation, as well as the ratios obtained on the same files by the 4.3 bsd Unix "compress" utility, and by state-ofthe-art Ziv-Lempel codes by Miller and Wegman [16], Rogers and Thomborson [20], and Fiala and Greene [13]. My data shows that a well-implemented V.42bis modem will acheive 2.3:l compression on English text, 1.6:l compression on binaries, and 3.2:l compression on source code.…”
Section: Introductionmentioning
confidence: 99%