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Blind Separation Combined Frequency Invariant Beamforming and ICA for Far-field Broadband Acoustic Signals.
- Source :
- Advances in Neural Networks - ISNN 2005 (9783540259138); 2005, p538-543, 6p
- Publication Year :
- 2005
-
Abstract
- Many famous blind source separation (BSS) in frequency domain have been developed while they can still not avoid the permutation problem. We propose a new BSS approach for far-field broadband acoustic signals via combining the frequency invariant bemforming (FIB) technique and complex-valued independent component analysis (ICA). Compared with other frequency methods, our method can avoid the permutation problem and has much faster convergency rate. We also present a new performance measure to evaluate the separation. Finally, the simulation is given to verify the efficiency of the proposed method. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540259138
- Database :
- Supplemental Index
- Journal :
- Advances in Neural Networks - ISNN 2005 (9783540259138)
- Publication Type :
- Book
- Accession number :
- 32979942
- Full Text :
- https://doi.org/10.1007/11427445_88