Extension of EFICA Algorithm for Blind Separation of Piecewise Stationary Non-Gaussian Sources

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F08%3A00306561" target="_blank" >RIV/67985556:_____/08:00306561 - isvavai.cz</a>
Alternative codes found
RIV/46747885:24220/08:#0001331
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Extension of EFICA Algorithm for Blind Separation of Piecewise Stationary Non-Gaussian Sources
Original language description
We propose an extension of algorithm EFICA for piecewise stationary and non-Gaussian signals. Cramér-Rao bound for this model is derived and the extended algorithm is shown to be asymptotically efficient if score functions of the signals are known in each block. In contrast to classical ICA algorithms, the proposed method is able to profit from varying distribution of the original signals as well as from their non-stationarity, which is demonstrated on simulations with real-world signals.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ICASSP 2008: IEEE International Conference on Acoustics, Speech, and Signal Processing
ISBN
978-1-4244-1483-3
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Conference Management Services
Place of publication
Bryan
Event location
Las Vegas
Event date
Mar 30, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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