A Fast Asymptotically Efficient Algorithm for Blind Separation of a Linear Mixture of Block-Wise Stationary Autoregressive Processes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F09%3A00324169" target="_blank" >RIV/67985556:_____/09:00324169 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Fast Asymptotically Efficient Algorithm for Blind Separation of a Linear Mixture of Block-Wise Stationary Autoregressive Processes
Original language description
We propose a novel blind source separation algorithm called Block AutoRegressive Blind Identification (BARBI). The algorithm is asymptotically efficient in separation of instantaneous linear mixtures of blockwise stationary Gaussian autoregressive processes. A novel closed-form formula is derived for a Cramer Rao lower bound on elements of the corresponding Interference-to-Signal Ratio (ISR) matrix. This theoretical ISR matrix can serve as an estimate of the separation performance on the particular data. In simulations, the algorithm is shown to be applicable in blind separation of a linear mixture of speech signals.
Czech name
Rychlý asymptoticky eficientní algoritmus pro slepou separaci lineární směsi po blocích stacionárních autoregresních procesů
Czech description
V práci je navržen nový algoritmus pro slepou separaci signálů. Algoritmus je optimalizován pro separaci po blocích stacionárních procesů, a pokud separované procesz mají Gaussovské rozložení, je též asymptoticky eficientní. Algoritmus je testován na separaci lineární směsi řečových signálů.
Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1M0572" target="_blank" >1M0572: Data, algorithms, decision making</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 34th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ISBN
978-1-4244-2354-5
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE
Place of publication
Taipei
Event location
Taipei
Event date
Apr 19, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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