Independent Component Analysis and Its Applications

Result code in 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>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Independent Component Analysis and Its Applications

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2003

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Intelligent and Adaptive Systems in Medicine

ISBN

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ISSN

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e-ISSN

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Number of pages

9

Pages from-to

100-108

Publisher name

CVUT FEL Praha

Place of publication

Praha

Event location

Praha

Event date

Mar 31, 2003

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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