Suchergebnisse - "universal lossless data compression algorithms"
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Efficient universal lossless data compression algorithms based on a greedy sequential grammar transform--Part one: Without context models
ISSN: 0018-9448, 1557-9654Veröffentlicht: New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.05.2000Veröffentlicht in IEEE transactions on information theory (01.05.2000)“… A grammar transform is a transformation that converts any data sequence to be compressed into a grammar from which the original data sequence can be fully …”
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Efficient universal lossless data compression algorithms based on a greedy sequential grammar transform-part two: with context models
ISSN: 0018-9448, 1557-9654Veröffentlicht: New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.11.2003Veröffentlicht in IEEE transactions on information theory (01.11.2003)“… Given a countable-context model, a greedy CDG transform is proposed. Based on this greedy CDG transform, two universal lossless data compression algorithms …”
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On the performance of recency-rank and block-sorting universal lossless data compression algorithms
ISSN: 0018-9448, 1557-9654Veröffentlicht: New York IEEE 01.09.2002Veröffentlicht in IEEE transactions on information theory (01.09.2002)“… Bounds on the redundancy of the recency-rank and block-sorting universal lossless data compression algorithms for finite-length sequences are presented …”
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Efficient universal lossless data compression algorithms based on a greedy sequential grammar transform .2. With context models
ISSN: 0018-9448Veröffentlicht: IEEE 01.11.2003Veröffentlicht in IEEE transactions on information theory (01.11.2003)“… Given a countable-context model, a greedy CDG transform is proposed. Based on this greedy CDG transform, two universal lossless data compression algorithms …”
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Efficient universal lossless data compression algorithms based on a greedy sequential grammar transform. I. Without context models
ISSN: 0018-9448Veröffentlicht: IEEE 01.05.2000Veröffentlicht in IEEE transactions on information theory (01.05.2000)“… Based on this grammar transform, three universal lossless data compression algorithms, a sequential algorithm, an improved sequential algorithm, and a hierarchical algorithm, are then developed …”
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Efficient universal lossless data compression algorithms based on a greedy context-dependent sequential grammar transform
ISBN: 9780780371231, 0780371232Veröffentlicht: IEEE 2001Veröffentlicht in 2001 IEEE International Symposium on Information Theory (2001)“… In many applications like compression of text files, Web page files, and Java applets, there exists some a-priori knowledge, which often takes form of context …”
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On the performance of recency-rank and block-sorting universal lossless data compression algorithms
ISBN: 9780780358577, 0780358570Veröffentlicht: IEEE 2000Veröffentlicht in Information Theory: 2000 IEEE International Symposium On (2000)“… We present bounds of the redundancy of the recency-rank and the block-sorting universal lossless data compression algorithms for finite-length sequences …”
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DNA inspired bi-directional Lempel-Ziv-like compression algorithms
ISSN: 2165-4700Veröffentlicht: IEEE 01.08.2014Veröffentlicht in 2014 8th International Symposium on Turbo Codes and Iterative Information Processing (ISTC) (01.08.2014)“… ) algorithms has motivated us to incorporate bi-directional readings into LZ algorithms. LZ77, LZ78, and LZW84 are universal lossless data compression algorithms …”
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On the university of grammar-based codes for sources with countably infinite alphabets
ISBN: 9780780377288, 0780377281Veröffentlicht: IEEE 2003Veröffentlicht in 2003 IEEE International Symposium on Information Theory (2003)“… Grammar-based codes refer to a new class of universal lossless data compression algorithms …”
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Universal lossless data compression with side information by using a conditional MPM grammar transform
ISSN: 0018-9448, 1557-9654Veröffentlicht: New York IEEE 01.09.2001Veröffentlicht in IEEE transactions on information theory (01.09.2001)“… A grammar transform is a transformation that converts any data sequence to be compressed into a grammar from which the original data sequence can be fully …”
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Redundant Reduced LZW (RRLZW) Technique of Lossless Data Compression
ISSN: 0976-5697Veröffentlicht: Udaipur International Journal of Advanced Research in Computer Science 01.07.2014Veröffentlicht in International journal of advanced research in computer science (01.07.2014)“… ) is a universal lossless data compression algorithm which works best on data with repeated patterns, so the initial parts of a message will see little compression …”
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Study On Universal Lossless Data Compression by using Context Dependence Multilevel Pattern Matching Grammar Transform
ISSN: 2331-8422Veröffentlicht: Ithaca Cornell University Library, arXiv.org 20.03.2013Veröffentlicht in arXiv.org (20.03.2013)“… ; based on this grammar transform, the universal lossless data compression algorithm, CDMPM code is then developed …”
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Universal data compression: From classical to quantum
ISBN: 9780612849105, 0612849104Veröffentlicht: ProQuest Dissertations & Theses 01.01.2003“… Classical information theory is concerned (among other things) with data storage and transmission, where data processing devices are implicitly assumed to work …”
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LZAC lossless data compression
ISBN: 0769514774, 9780769514772ISSN: 1068-0314Veröffentlicht: IEEE 2002Veröffentlicht in Proceedings DCC 2002. Data Compression Conference (2002)“… Summary form only given. This paper presents LZAC, a new universal lossless data compression algorithm derived from the popular and widely used LZ77 family …”
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Universal lossless data compression with side information by using a conditional MPM grammar transform
ISBN: 9780780358577, 0780358570Veröffentlicht: IEEE 2000Veröffentlicht in Information Theory: 2000 IEEE International Symposium On (2000)“… ,I) transform, we develop a universal lossless data compression algorithm with side information called the CMPM algorithm, which has linear time and storage complexity and asymptotically achieves …”
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