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МЕНЮ
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БОЛЬШАЯ ЛЕНИНГРАДСКАЯ БИБЛИОТЕКА - РЕФЕРАТЫ - Сжатие данныхСжатие данныхЛитература. 1. Bently,J.l., Sleator,D.D., Tarjan,R.E., and Wei,V.K. A locally adaptive data compression scheme. Communications of the ACM. 29, 4 ( Apr. 1986 ), 320-330. 2. Gallagen,R.G. Information Theory and Reliable Communication. John Wiley & Sons, New York, 1968. 3. Gallager,R.G. Variations on a theme by Huffman. IEEE Trans.Inform.Theory IT-24, 6 ( Nov.1978 ), 666-674. 4. Jones,D.W. An empirical comparison of priority queue and set inplementations. Communication of the ACM. 29, 4 ( Apr. 1986 ), 300-311. 5. Knuth,D.E. Dynamic Huffman coding. J.Algorithms 6, 2 ( Feb. 1985 ), 163-180. 6. Rubin,F. Arithmetic stream coding using fixed precision registers. IEEE Trans.Inform.Theory IT-25, 6 ( Nov. 1979 ), 672-675. 7. Saraswat,V. Merge trees using splaying - or how to splay in parralel and bottom-up. PROLOG Digest 5, 22 ( Mar. 27, 1987 ). 8. Sleator,D.D., and Tarjan,R.E. Self-adjusting binary trees. In Proceedings of the ACM SIGACT Symposium on Theory of Computing ( Boston, Mass., Apr.25-27 ).ACM, New York, 1983, pp.235-245. 9. Tarjan,R.E., and Sleator,D.D. Self-adjusting binary search trees. J.ACM 32, 3 ( July 1985 ), 652-686. 10. Vitter,J.S. Two papers on dynamic Huffman codes. Tech.Rep.CS-85-13.Brown University Computer Science, R.I. Revised Dec.1986. 11. Welch,T.A. A technique for high-performance data compression. IEEE Comput. 17, 6 ( June 1984 ), 8-19. 12. Witten,I.H.,Neal,R.M., and Cleary,J.G. Arithmetic coding for data compression. Communication of the ACM. 30, 6 ( June 1987 ), 520-540 |
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