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Journal of Applied Sciences
  Year: 2007 | Volume: 7 | Issue: 22 | Page No.: 3567-3571
DOI: 10.3923/jas.2007.3567.3571
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Adaptive Quantum Lossless Compression

Essam Al-Daoud

A new adaptive quantum lossless compression algorithm is introduced, the suggested algorithm does not need a priori estimation of probabilities and it is more useful in real applications. The main idea of the proposed algorithm is that the corresponding probabilities of the symbols are assumed to be identical and after each iteration; all the corresponding probabilities are updated. These probabilities will become closer to the actual distribution after few iterations. Moreover the complexity of the proposed algorithm can be reduced if we consider the general properties of the given data
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  •    Generalized Parametric R-norm Information Measure
  •    A Noiseless Coding Theorem Connected with Generalized Renyi’s Entropy of Order α for Incomplete Power Probability Distribution pβ
  •    A Coding Theorem for the Information Measure of Order α and of Type β
How to cite this article:

Essam Al-Daoud , 2007. Adaptive Quantum Lossless Compression. Journal of Applied Sciences, 7: 3567-3571.

DOI: 10.3923/jas.2007.3567.3571






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