Adaptive signal processing using maximum entropy on the mean method and Monte Carlo analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F03%3A00000372" target="_blank" >RIV/49777513:23220/03:00000372 - isvavai.cz</a>
Alternative codes found
RIV/49777513:23220/03:00000374
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Adaptive signal processing using maximum entropy on the mean method and Monte Carlo analysis
Original language description
Designed signal and image processing method enables to avoid impact of measurement system on experimental evidence, mitigates noises and increases precision of obtained data. The simulations in Matlab were used to verify the proposed algorithm consistedof two methods: the Maximum Entropy on the Mean Method (MEMM) and the Expectation-Minimization Algorithm (EM algorithm). In the exponential family, the E step of EM method gives similar results as the MEMM that is why we combine both methods in order toexplore the advantages of both. Proposed algorithm enables to reconstruct real data that object produces. Importance of this method in the signal and image processing and diagnostics is obvious.
Czech name
Adaptivní zpracování signálů s využitím MEMM a Monte Carlo analýzy
Czech description
Navržená metoda adaptivního zpracování signálů je založena na metodě MEMM v kombinaci s Monte Carlo analýzou. Chování navrženého algoritmu je ověřeno simulacemi realizovanými v prostřeí Matlab na virtuálním signálu.
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MATLAB 2003
ISBN
80-7080-526-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
191-196
Publisher name
HUMUSOFT
Place of publication
Praha
Event location
Praha
Event date
Jan 1, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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