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A Fast Asymptotically Efficient Algorithm for Blind Separation of a Linear Mixture of Block-Wise Stationary Autoregressive Processes
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SYSNO ASEP 0324169 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title A Fast Asymptotically Efficient Algorithm for Blind Separation of a Linear Mixture of Block-Wise Stationary Autoregressive Processes Title Rychlý asymptoticky eficientní algoritmus pro slepou separaci lineární směsi po blocích stacionárních autoregresních procesů Author(s) Tichavský, Petr (UTIA-B) RID, ORCID
Yeredor, A. (IL)
Koldovský, Zbyněk (UTIA-B) RIDSource Title Proceedings of 34th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). - Taipei : IEEE, 2009 - ISBN 978-1-4244-2354-5 Pages s. 3133-3136 Number of pages 4 s. Publication form www - www Action IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2009 /34./ Event date 19.04.2009-24.04.2009 VEvent location Taipei Country TW - Taiwan, Province of China Event type WRD Language eng - English Country TW - Taiwan, Province of China Keywords Approximate joint diagonalization ; blind source separation, ; autoregressive processes ; second-order statistics Subject RIV BB - Applied Statistics, Operational Research R&D Projects 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation 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. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2009
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