2006 International Telecommunications Symposium 2006
DOI: 10.1109/its.2006.4433407
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Binary constrained letter-by-letter homophonic coding

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(7 citation statements)
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“…In [16] the algorithm later called MAX-ENT algorithm was introduced to perform homophonic coding in which the symbols in each homophonic codeword are independent and identically distributed binary random variables obeying an arbitrary probability distribution Π 2 = {p, 1 − p}, where p ≥ 1/2. The MAX-ENT algorithm provides a solution to the problem posed by Knuth and Yao [11,page 427] on the generation of probability distributions using a biased coin and advanced one step further the solution originally proposed by Julia Abrahams [3].…”
Section: A Related Workmentioning
confidence: 99%
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“…In [16] the algorithm later called MAX-ENT algorithm was introduced to perform homophonic coding in which the symbols in each homophonic codeword are independent and identically distributed binary random variables obeying an arbitrary probability distribution Π 2 = {p, 1 − p}, where p ≥ 1/2. The MAX-ENT algorithm provides a solution to the problem posed by Knuth and Yao [11,page 427] on the generation of probability distributions using a biased coin and advanced one step further the solution originally proposed by Julia Abrahams [3].…”
Section: A Related Workmentioning
confidence: 99%
“…The MAX-ENT algorithm provides a solution to the problem posed by Knuth and Yao [11,page 427] on the generation of probability distributions using a biased coin and advanced one step further the solution originally proposed by Julia Abrahams [3]. In [17] the minimum entropy per step algorithm was introduced to perform homophonic coding, having as its main motivation the fact that in many situations it was more efficient than the MAX-ENT algorithm.…”
Section: A Related Workmentioning
confidence: 99%
See 3 more Smart Citations