Pulse or digital communications – Equalizers – Automatic
Reexamination Certificate
2005-10-11
2005-10-11
Chin, Stephen (Department: 2634)
Pulse or digital communications
Equalizers
Automatic
C375S350000, C375S285000, C375S316000
Reexamination Certificate
active
06954494
ABSTRACT:
A method for blind source separation of sources detects the sources using sensors to obtain representative data. The data is then represented by two mixtures having estimates of amplitude and delay mixing parameters. The estimates are updated, including: calculating error measures, each indicating a closeness of the estimates for a given source to a given time-frequency point in the mixtures; and revising the estimates, based on the error measures. The mixtures are filtered to obtain estimates of the sources, including: selecting one error measure having a smallest value in relation to any other error measures, for each time-frequency point in the mixtures; and leaving unaltered any time-frequency points for which a given error measure has the smallest value, while setting to zero any other time-frequency points for which the given error measure does not have the smallest value, for each error measure. The estimates of the sources are output.
REFERENCES:
patent: 5694474 (1997-12-01), Ngo et al.
patent: 5706402 (1998-01-01), Bell
patent: 5999567 (1999-12-01), Torkkola
patent: 6240098 (2001-05-01), Thibault et al.
patent: 6317703 (2001-11-01), Linsker
patent: 6430528 (2002-08-01), Jourjine et al.
patent: 6697633 (2004-02-01), Dogan et al.
patent: 6704369 (2004-03-01), Kawasaki et al.
patent: 2001/0016691 (2001-08-01), Tamura et al.
DOA estimation of many W-disjoint orthogonal sources from two mixtures using DUET Rickard, S. Dietrich, F. Princeton Univ NJ, USA; Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop Publication Date: Aug. 14-16, 2.
Acoustic Propagation in Surface Duets Using the Radiation Transport Equation Wilson, H. Tappert, F. Science Applications, Inc., La Jolla, CA, USA “OCEANS” Publication Date: Sep. 1979 vol.: 11 On pp.: 84-91.
A fast blind source separation for digital wireless applications Toriak, M.; Hansen, L.K.; Xu, G.; Acoustics, Speech, and Signal Processing, 1998. ICASSP '98. Proceedings of the 1998 IEEE International Conference on vol. 6, May 12-15, 1998 pp.: 3305.
Blind-ML scheme for blind source separation Lomnitz, Y.; Yeredor, A.; Statistical Signal Processing, 2003 IEEE Workshop o Sep. 28-Oct. 1, 2003 pp.: 581-584.
Blind source separation by dynamic graphical modelsAttias, H.;Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470)vol. 1, Sep. 7-10, 1999 pp.: 126-131 vol. 1.
Blind separation of speech mixtures via time-frequency masking Yilmaz, O.; Rickard, S.; Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal processing, IEEE Transactions on] vol. 52, Issue 7, Jul. 2004 pp.: 1830-1847.
On the approximate W-disjoint orthogonality of speech Rickard, S.; Yilmaz, Z.; Acoustics, Speech, and Signal Processing, 2002. Proceedings. (ICASSP '02). IEEE International Conference on vol. 1, May 13-17, 2002 pp.: I-529—I-532 vol. 1.
Blind separation of disjoint orthogonal signals: demixing N sources from 2 mixtures Jourjine, A.; Rickard, S.; Yilmaz, O.; Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on vol. 5, Jun. 5-9, 20.
Balan Radu Victor
Rickard Scott
Rosca Justinian
Chin Stephen
F. Chau & Associates LLC
Paschburg Donald B.
Siemens Corporate Research Inc.
Vartanian Harry
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