ENTROPY RELATIONSHIPS FOR DATA SEQUENCE HISTOGRAMS

Authors :: R. Román‐Roldán
Source :: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering. 12:179-190
Publication Year :: 1993
Publisher :: Emerald, 1993.
Abstract: A quantized probability distribution is defined for a sequence of digital data produced by a Bernoulli source. From it, both a grouped distribution and a histogram are obtained. Their entropies are considered, and relationships between them are derived. Some applications are described, and a commentary about microscopic uncertainty versus macroscopic information is presented, with a related entropic modulation factor.

Subjects :: business.industry
Applied Mathematics
Digital data
Pattern recognition
Computer Science Applications
Modulation factor
Bernoulli's principle
Computational Theory and Mathematics
Histogram
Probability distribution
Entropy (information theory)
Artificial intelligence
Statistical physics
Electrical and Electronic Engineering
Entropic uncertainty
business
Mathematics

ISSN :: 03321649
Volume :: 12
Database :: OpenAIRE
Journal :: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering
Accession number :: edsair.doi...........bdf2a2851197a2024b41ffa916914936

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