IEEE Transactions on Information Theory · 1999 · 84 citations · 19 references
EngineeringComputer EngineeringComputer ScienceAlgorithmsComputer ArchitectureInformation TheoryCoding TheoryData CompressionError-correcting CodesLossless Data CompressionLossy Data CompressionSource CodingComplexityCompression AlgorithmsCompression BoundsComputational Complexity Of AlgorithmsLossless Source CodingLossy Source CodingLow-complexity Compression Algorithms
Three strongly sequential, lossless compression schemes, one with linearly growing per-letter computational complexity, and two with fixed per-letter complexity, are presented and analyzed for memoryless sources with abruptly changing statistics. The first method, which improves on Willems' (1994) weighting approach, asymptotically achieves a lower bound on the redundancy, and hence is optimal. The second scheme achieves redundancy of O(log N/N) when the transitions in the statistics are large, and O (log log N/log N) otherwise. The third approach always achieves redundancy of O (/spl radic/log N/N). Obviously, the two fixed complexity approaches can be easily combined to achieve the better redundancy between the two. Simulation results support the analytical bounds derived for all the coding schemes.
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Variations on a theme by Huffman
Robert G. Gallager · IEEE Transactions on Information Theory · 1978 · 552 citations · Full text