Get Independent Component Analysis and Signal Separation: 8th PDF

By Tulay Adali, Christian Jutten, Visit Amazon's Joao Marcos Travassos Romano Page, search results, Learn about Author Central, Joao Marcos Travassos Romano, , Allan Kardec Barros

ISBN-10: 3642005985

ISBN-13: 9783642005985

This booklet constitutes the refereed complaints of the eighth overseas convention on self sustaining part research and sign Separation, ICA 2009, held in Paraty, Brazil, in March 2009. The ninety seven revised papers awarded have been rigorously reviewed and chosen from 137 submissions. The papers are prepared in topical sections on conception, algorithms and architectures, biomedical purposes, photo processing, speech and audio processing, different purposes, in addition to a different consultation on review.

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Additional resources for Independent Component Analysis and Signal Separation: 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009, Proceedings

Example text

Fr 2 Elec. Eng. dz Abstract. In this paper, we propose a new method for the blind source separation with assuming that the source signals are cyclostationarity. The proposed method exploits the characteristics of cyclostationary signals in the Fraction-of-Time probability framework in order to simultaneously separate all sources without restricting the distribution or the number of cycle frequencies of each source. Furthermore, a new identifiability condition is also provided to show which kind of cyclostationary source can be separated by the second-order cyclostationarity statistics.

K [16] such that the matrix F, defined as follows: Δ K F = K Aβi Rs (ti , 0)AH βi Ryε (ti , 0) = i=1 (14) i=1 is a positive definite matrix. 3. , d2N , 0)[U1:N UN +1:M ]H (15) 4. , 1/dN )U1:N Δ z(t) = W y(t) = W As(t) + W b(t) (16) (17) 5. Choose some value of lag τ and ti , compute the set of matrix R = {Rzε (ti , τ )} 6. An orthogonal matrix V is then obtained as diagonalizer of the set of matrix R. Rk = V D k V H 7. Channel estimation A: Aˆ = U1:N diag(d1 , . . , dN )V . 8. Source estimation: sˆ(t) = V H z(t).

Cyclostationarity: half a century of research. Signal Processing 86(4), 639–697 (2006) 8. : Cyclic higher-order statistics: input/output relations for discrete and continuous-time MIMO linear almost-periodically time-variant systems. Signal processing 42(2), 147–166 (1995) 9. : Blind source separation using second order cyclic statistics. In: Pro. SPWAC, Paris, France, pp. 57–60 (1997) 10. : On the behavior of current second and higher order blind sourceseparation methods for cyclostationary sources.

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Independent Component Analysis and Signal Separation: 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009, Proceedings by Tulay Adali, Christian Jutten, Visit Amazon's Joao Marcos Travassos Romano Page, search results, Learn about Author Central, Joao Marcos Travassos Romano, , Allan Kardec Barros


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