Publication | Closed Access
Random coding strategies for minimum entropy
67
Citations
6
References
1975
Year
Minimum EntropyDistributed Source CodingAbsolute Epsilon EntropyEngineeringInformation TheoryJoint Source-channel CodingEntropyCoding TheoryChannel CodingProbability TheoryComputer ScienceBlock LengthFixed RandomCombinatorial OptimizationData CompressionVariable-length Code
This paper proves that there exists a fixed random coding Strategy for block coding a memoryless information source to achieve the absolute epsilon entropy of the source. That is, the strategy can be chosen independent of the block length. The principal new tool is an easy result on the semicontinuity of the relative entropy functional of one probability distribution with respect to another. The theorem generalizes a result from rate-distortion theory to the "zero-infinity" case.
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