Heuristics in blind source separation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F18%3A00499759" target="_blank" >RIV/67985556:_____/18:00499759 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21340/18:00325060

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Heuristics in blind source separation

Original language description

This paper deals with application of heuristic algorithms (DEBR, MCRS) in blind source separation (BSS). BSS methods focus on a separation of the (source) signal from a linear mixture. The idea of using heuristic algorithms is introduced on the independent component extraction (ICE) model. The motivation for considering heuristics is to obtain an initial guess needed by many ICE algorithms. Moreover, the comparison of this initialization, and other algorithms accuracy is performed.n

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10103 - Statistics and probability

Project

<a href="/en/project/GA18-15970S" target="_blank" >GA18-15970S: Optimal Distributional Design for External Stochastic Knowledge Processing</a><br>

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

Article name in the collection

Stochastic and Physical Monitoring Systems

ISBN

978-80-01-06501-3

ISSN

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e-ISSN

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Number of pages

9

Pages from-to

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Publisher name

Czech Technical University in Prague

Place of publication

Praha

Event location

Dobřichovice

Event date

Jun 18, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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