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Handbook of differential entropy
One of the main issues in communications theory is measuring the ultimate data compression possible using the concept of entropy. While differential entropy may seem to be a simple extension of the discrete case, it is a more complex measure that often requires a more careful treatment.Handbook of D...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
Taylor and Francis
2013
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1634070 |
_version_ | 1780934439285555200 |
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author | Michalowicz, Joseph Victor Nichols, Jonathan M Bucholtz, Frank |
author_facet | Michalowicz, Joseph Victor Nichols, Jonathan M Bucholtz, Frank |
author_sort | Michalowicz, Joseph Victor |
collection | CERN |
description | One of the main issues in communications theory is measuring the ultimate data compression possible using the concept of entropy. While differential entropy may seem to be a simple extension of the discrete case, it is a more complex measure that often requires a more careful treatment.Handbook of Differential Entropy provides a comprehensive introduction to the subject for researchers and students in information theory. Unlike related books, this one brings together background material, derivations, and applications of differential entropy.The handbook first reviews probability theory as it e |
id | cern-1634070 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2013 |
publisher | Taylor and Francis |
record_format | invenio |
spelling | cern-16340702020-07-16T20:01:57Zhttp://cds.cern.ch/record/1634070engMichalowicz, Joseph VictorNichols, Jonathan MBucholtz, FrankHandbook of differential entropyComputing and ComputersOne of the main issues in communications theory is measuring the ultimate data compression possible using the concept of entropy. While differential entropy may seem to be a simple extension of the discrete case, it is a more complex measure that often requires a more careful treatment.Handbook of Differential Entropy provides a comprehensive introduction to the subject for researchers and students in information theory. Unlike related books, this one brings together background material, derivations, and applications of differential entropy.The handbook first reviews probability theory as it eTaylor and Francisoai:cds.cern.ch:16340702013 |
spellingShingle | Computing and Computers Michalowicz, Joseph Victor Nichols, Jonathan M Bucholtz, Frank Handbook of differential entropy |
title | Handbook of differential entropy |
title_full | Handbook of differential entropy |
title_fullStr | Handbook of differential entropy |
title_full_unstemmed | Handbook of differential entropy |
title_short | Handbook of differential entropy |
title_sort | handbook of differential entropy |
topic | Computing and Computers |
url | http://cds.cern.ch/record/1634070 |
work_keys_str_mv | AT michalowiczjosephvictor handbookofdifferentialentropy AT nicholsjonathanm handbookofdifferentialentropy AT bucholtzfrank handbookofdifferentialentropy |