Improved variants of the FastICA algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00444036" target="_blank" >RIV/67985556:_____/15:00444036 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/B978-0-12-802806-3.00002-6" target="_blank" >http://dx.doi.org/10.1016/B978-0-12-802806-3.00002-6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/B978-0-12-802806-3.00002-6" target="_blank" >10.1016/B978-0-12-802806-3.00002-6</a>

Result language
angličtina
Original language name
Improved variants of the FastICA algorithm
Original language description
The article presents a survey of improved variants of the famous FastICA algorithm for Independent Component Analysis. Variants of the algorithm tailored to separate mixtures of stationary non-Gaussian signals and mixtures of nonstationary (block-wise stationary) non-Gaussian signals are described. Performance analyses of the algorithms are given and compared to the respective Cramer-Rao lower bounds. The behavior of FastICA variants when additive noise is present in the signal mixture is studied through a bias analysis.
Czech name
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Czech description
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Project
<a href="/en/project/GA14-13713S" target="_blank" >GA14-13713S: Tensor Decomposition Methods and Their Applications</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name
Advances in Independent Component Analysis and Learning Machines
ISBN
978-0-12-802806-3
Number of pages of the result
22
Pages from-to
53-74
Number of pages of the book
296
Publisher name
Elsevier
Place of publication
Londýn
UT code for WoS chapter
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