Independent Component Analysis and Its Applications

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F03%3A03087269" target="_blank" >RIV/68407700:21220/03:03087269 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Jazyk výsledku
angličtina
Název v původním jazyce
Independent Component Analysis and Its Applications
Popis výsledku v původním jazyce
Independent Component Analysis (ICA) is technique for separating mixtures of source signals into their individual components. This rapidly evolving technique is currently finding applications in speech separation, ECG, EEG, MEG or face recognition. Its power resides in the simple and realistic assumption that different physical process tend to generate statistically independent signals. In the first part of the survey we briefly provide mathematical background and in the second part we will explore themethod usefulness on several real-life applications.
Název v anglickém jazyce
Independent Component Analysis and Its Applications
Popis výsledku anglicky
Independent Component Analysis (ICA) is technique for separating mixtures of source signals into their individual components. This rapidly evolving technique is currently finding applications in speech separation, ECG, EEG, MEG or face recognition. Its power resides in the simple and realistic assumption that different physical process tend to generate statistically independent signals. In the first part of the survey we briefly provide mathematical background and in the second part we will explore themethod usefulness on several real-life applications.

Rok uplatnění
2003
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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