Point Divergence Gain and Multidimensional Data Sequences Analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F18%3A43897082" target="_blank" >RIV/60076658:12520/18:43897082 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21340/18:00320241
Result on the web
<a href="http://www.mdpi.com/1099-4300/20/2/106/htm" target="_blank" >http://www.mdpi.com/1099-4300/20/2/106/htm</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/e20020106" target="_blank" >10.3390/e20020106</a>

Result language
angličtina
Original language name
Point Divergence Gain and Multidimensional Data Sequences Analysis
Original language description
We introduce novel information-entropic variables-a Point Divergence Gain (Omega((l -> m))(alpha)), a Point Divergence Gain Entropy (I-alpha), and a Point Divergence Gain Entropy Density (P-alpha)-which are derived from the Renyi entropy and describe spatio-temporal changes between two consecutive discrete multidimensional distributions. The behavior of Omega((l -> m))(alpha) is simulated for typical distributions and, together with I-alpha and P-alpha, applied in analysis and characterization of series of multidimensional datasets of computer-based and real images.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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