semenyuk_2001_econom_encoding
.pdfСпециальная редакция для compression.ru
16.Bentley J., Sedgewick R. Fast Algorithms for Sorting and Searching Strings // Proc. ACM–SIAM Symp. on discr. algorithms, New Orleans, USA, Jan., 1997. – P. 360–369.
17.Bloom C. Algorithm PPMZ2. – http://www.cbloom.com/src/ppmz.html.
18.Bloom C. LZP: A New Data Compression Algorithm. – http://www.cbloom. com/papers/lzp.zip.
19.Bloom C. New Techniques in Context Modeling and Arithmetic Encoding. – http://www.cbloom.com/papers/dcc_cntx.zip.
20.Bloom C. Solving the Problems of Context Modeling. – http://www.cbloom. com/papers/ppmz.zip.
21.Brent R. P. A Linear Algorithm for Data Compression // Aust. Comput. J. – 1987. – Vol. 19, N 2. – P. 64–68.
22.Bunton S. On-Line Stochastic Processes in Data Compression: Ph.D. dissertation. – Dept. of Computer Science and Engineering, University of Washington, Seattle, Washington, USA, 1996.
23.Burrows M., Wheeler D. J. A Block-Sorting Lossless Data Compression Algorithm: Res. rept. 124. – DIGITAL Systems Research Center, 1994.
24.Cleary J., Teahan W., Witten I. Unbounded Length Contexts for PPM // Proc. IEEE Data Compression Conf. – Snowbird, Utah, USA, Mar. 28–30, 1995. – P. 52–61.
25.Cleary J. G., Witten I. H. Data Compression Using Adaptive Coding and
Partial String Matching // IEEE Trans. Commun. – 1984. – Vol. 32, N 4. – P. 396–402.
26.Cormack G. V., Horspool R. N. Data Compression Using Dynamic Markov Modeling // Comput. J. – 1987. – Vol. 30, N 6. – P. 541–550.
27.Fano R. M. Technical N65. – The Research Laboratory of Electronics, MIT, Mar. 17, 1949.
28.Fenwick P. M. Block Sorting Text Compression // Proc. 19th Australian Computer Science Conf., Melbourne, Australia, Jan. 31 – Feb. 2, 1996.
29.Fiala E. R., Greene D. H. Data Compression with Finite Windows // CACM.
–1989. – Vol. 32, N 4. – P. 490–505.
30.Gallager R. G. Variations on a Theme by Huffman // IEEE Trans. Inform. Theory. – 1978. – Vol. 24, N 6. – P. 668–674.
31.Golomb S. W. Run-Length Encoding // IEEE Trans. Inform. Theory. – 1966.
–Vol. 12, N 4. – P. 399–401.
32.Guazzo M. A General Minimum-Redundancy Source-Coding Algorithm // IEEE Trans. Inform. Theory. – 1980. – Vol. 26, N 1. – P. 15–25.
33.Horspool R. N. Cormack G. V. Dynamic Markov Modeling – A Prediction Technique // Proc. Int. Conf. on the System Sciences. – Honolulu, Hawaii, USA, 1986. – P. 700–707.
111
Специальная редакция для compression.ru
34.Howard P. G. The Design and Analysis of Efficient Lossless Data Compression Systems: Tech. rept. N CS-93-28. – Dept. of Computer Science, Brown University, Providence, Rhode Island, USA, 1993.
35.Howard P. G., Vitter J. S. Practical Implementations of Arithmetic Coding // Storer A. Image and text compression. – Kluwer Academic Publishers, Massachusetts, USA, 1992. – P. 85–112.
36.Jakobson M. Compression of Character String by an Adaptive Dictionary // BIT. – 1985. – Vol. 25, N 4. – P. 593–603.
37.Jones D. W. Application of Splay Trees to Data Compression // CACM. – 1978. – Vol. 31, N 8. – P. 996–1007.
38.Krichevsky R. E., Trofimov V. K. The Performance of Universal Coding // IEEE Trans. Inform. Theory. – 1981. – Vol. 27, N 1. – P. 199–207.
39.Long P. M., Natsev A. I., Vitter J. S. Text Compression via Alphabet ReRepresentation // Proc. IEEE Data Compression Conf. – Snowbird, Utah, USA, Mar. 25–27, 1997. – P. 161–170.
40.Manber U., Myers E. W. Suffix Arrays: A New Method for On-Line String Searches // SIAM J. of Computing. – 1993. – Vol. 22, N 5. – P. 935–948.
41.McCreight E. M. A Space-Economical Suffix Tree Construction Algorithm // J. ACM. – 1976. – Vol. 23, N 2. – P. 262–272.
42.Miller V. S., Wegman M. N. Variations on a Theme by Ziv and Lempel // Apostolico A., Galil Z. Combinatorial Algorithms on Words. – SpringerVerlag, NY, USA, 1985. – P. 131–140.
43.Moffat A. M. A Note on the PPM Data Compression Algorithm: Res. rept. 88/7. – Dept. of Computer Science, University of Melbourne, Victoria, Australia, 1988.
44.Moffat A. M. Implementing the PPM Data Compression Scheme // IEEE Trans. Commun. – 1990. – Vol. 38, N 11. – P. 1917–1921.
45.Moffat A., Neal R., Witten I. H. Arithmetic Coding Revisited // Proc. IEEE Data Compression Conf. – Snowbird, Utah, USA, Mar. 28–30, 1995. – P. 202–211.
46.Nelson M. Data Compression Book. – M&T Books, Redwood City, California, USA, 1991.
47.Pasco R. Source Coding Algorithms for Fast Data Compression: Ph.D. dissertation. – Dept. of Electrical Engineering, Stanford University, California, USA, 1976.
48.Pennebaker W. B., Mitchell J. L., Langdon G. G., Arps R. B. An Overview of the Basic Principles of the Q-Coder Adaptive Binary Arithmetic Coder // IBM J. Res. Develop. – 1988. – Vol. 32, N 6. – P. 717–726.
49.Rice R. F. Some Practical Universal Noiseless Coding Techniques: JPL Publication 79-22. – Jet Propulsion Laboratory, Pasadena, California, USA, Mar., 1979.
112
Специальная редакция для compression.ru
50.Rissanen J. J. Generalized Kraft Inequality and Arithmetic Coding // IBM J. Res. Develop. – 1976, Vol. 20, N 3. – P. 198–203.
51.Rissanen J. J., Langdon G. G. Arithmetic Coding // IBM J. Res. Develop. – 1979. – Vol. 23, N 2. – P. 146–162.
52.Rodeh M., Pratt V. R., Even S. Linear Algorithm for Data Compression via String Matching // J. ACM. – 1981. – Vol. 28, N 1. – P. 16–24.
53.Rubin F. Arithmetic Stream Coding Using Fixed Precision Registers // IEEE Trans. Inform. Theory. – 1979. – Vol. 25, N 6. – P. 672–675.
54.Rubin F. Experiments in Text File Compression // CACM. – 1976. –Vol. 19, N 11. – P. 617–623.
55.Sadakane K. A Fast Algorithm for Making Suffix Arrays and for BurrowsWheeler Transformation // Proc. IEEE Data Compression Conf. – Snowbird, Utah, USA, Mar. 30 – Apr. 1, 1998. – P. 129–138.
56.Schmidhuber J., Heil S. Sequential Neural Text Compression // IEEE Trans. Neural Networks. – 1996. – Vol. 7, N. – P. 142–146.
57.Sedgewick R. Algorithms. – Addison-Wesley Reading, Massachusetts, USA, 1988.
58.Schindler M. A Fast Block-Sorting Algorithm for Lossless Data Compression. – http://www.compressconsult.com/st/dcc97eab.ps.gz.
59.Schindler M. Range Coder. – http://www.compressconsult.com/rangecoder/.
60.Storer J. A., Szymanski T. G. Data Compression via Textual Substitution // J. ACM. – 1982. – Vol. 29, N 4. – P. 928–951.
61.Teahan W. J. Probability Estimation for PPM. – http://www.cs.waikato.ac. nz/~wjt/papers/NZCSRSC.ps.gz.
62.Thomas S. W., McKie J., Davies S., Turkowski K., Woods J. A., Orost J. W. Compress (Version 4.0): Program and Documentation. – 1985.
63.Tischer P. A modified Lempel-Ziv-Welch Data Compression Scheme // Aust. Comput. Sci. Commun. – 1987. – Vol. 9, N 1. – P. 262–272.
64.Tjalkens Tj. J., Volf P. A. J., Willems F. M. J. A Context-Tree Weighting Method for Text-Generating Sources // Proc. IEEE Data Compression Conf. – Snowbird, Utah, USA, Mar. 25–27, 1997. – P. 472. (см. также http://ei1.ei.ele.tue.nl/~paul/p_and_w/dcc97.html)
65.Volf P. A. J. Text Compression Methods Based on Context Weighting: Tech. rept. – Stan Ackermans Institute, Eindhoven University of Technology, Netherlands, June, 1996.
66.Volf P. A. J., Willems F. M. J. Switching between Two Universal Source Coding Algorithms // Proc. IEEE Data Compression Conf. – Snowbird, Utah, USA, Mar. 30 – Apr. 1, 1998. – P. 491–500.
67.Volf P. A. J., Willems F. M. J. Switching Method: Elaborations // Proc. 19-th Symp. Inform. Theory in the Benelux. – Veldhoven, Netherlands, May 28–29, 1998. – P. 13–20.
113
Специальная редакция для compression.ru
68.Welch T. A. A technique for High-Performance Data Compression // IEEE Computer. – 1984. – Vol. 17, N 6. – P. 8–19.
69.Willems F. M. J. The Context-Tree Weighting Method: Extensions // IEEE Trans. Inform. Theory. – 1998. – Vol. 44, N 2. – P. 792–798.
70.Willems F. M. J., Shtarkov Y. M., Tjalkens Tj. J. Context Tree Weighting: A Sequential Universal Source Coding Procedure for FSMX Sources // Proc. IEEE Int. Symp. Inform. Theory. – San Antonio, Texas, USA, 1993. – P. 59.
71.Willems F. M. J., Shtarkov Y. M., Tjalkens Tj. J. Context Tree Weighting: Basic Properties // IEEE Trans. Inform. Theory. – 1995. – Vol. 41, N 3. – P. 653–664.
72.Willems F. M. J., Shtarkov Y. M., Tjalkens Tj. J. Context Weighting for General Finite Context Sources // IEEE Trans. Inform. Theory. – 1996. – Vol. 42, N 5. – P. 1514–1520.
73.Witten J. S., Bell T. C. The Zero Frequency Problem: Estimating the Probabilities of Novel Events in Adaptive Text Compression // IEEE Trans. Inform. Theory. – 1987. – Vol. 37, N 6. – P. 1085–1094.
74.Witten I. H., Neal R. M., Cleary J. G. Arithmetic Coding for Data Compression // CACM. – 1987. – Vol. 30, N 6. – P. 520–540.
75.Ziv J., Lempel A. A Universal Algorithms for Sequential Data Compression // IEEE Trans. Inform. Theory. – 1977. – Vol 23, N 3. – P. 337–343.
76.Ziv J., Lempel A. Compression of Individual Sequences via Variable-Rate Coding // IEEE Trans. Inform. Theory. – 1978. – Vol. 24, N 5. – P. 530–536.
77.CCITT Data Compression Procedures for Data Circuit Terminating Equipment (DCE) Using Error Correction Procedures: Recommendation V.42bis. – Jan., 1990.
78.Calgary corpus. – ftp://ftp.cpsc.ucalgary.ca/pub/projects/text.compression.corpus/.
79.Canterbury corpus. – http://corpus.canterbury.ac.nz/.
114