Analyzing Entropy of Data

S.K.Bhatia, Ayush Patel, Mayank Katiyar

Abstract: the entropy (information theory) is a measure of uncertainty rather than certainty. Entropy provides an absolute limit on the best possible average length of lossless encoding or compression of any communication.  Entropy analyzation can be used to determine cardiovascular diseases, arrhythmias, redundancy of a language and probability of data received in a message. There are varieties of entropies possible and this paper proposes a systematic view of these entropies.

Keywords: multiscale entropy analysis, sample entropy, single scale entropy.

Title: Analyzing Entropy of Data

Author: S.K.Bhatia, Ayush Patel, Mayank Katiyar

International Journal of Mathematics and Physical Sciences Research  

ISSN 2348-5736 (Online)

Research Publish Journals

Vol. 3, Issue 2, April 2015 - June 2015

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Analyzing Entropy of Data by S.K.Bhatia, Ayush Patel, Mayank Katiyar