TY - GEN
T1 - Semi-blind source separation for convolutive mixtures based on frequency invariant transformation
AU - Liu, Wei
AU - Mandic, Danilo P.
PY - 2005/5
Y1 - 2005/5
N2 - A novel method for separation of a class of convolutive mixtures is proposed, in which the received sensor signals are first transformed into instantaneous mixtures and then standard blind source separation (BSS) algorithms for instantaneous mixtures are applied. Since partial information about the mixing mechanism is required in the design of the transformation, the proposed method is strictly speaking semi-blind. From the beamforming viewpoint, the proposed approach represents a blind broadband beamforming method. As the separation is performed in fullband and only one separation is needed, the permutation problem associated with the frequency-domain BSS is avoided and the separation can be easily implemented online. Simulation results verify the usefulness of the proposed method.
AB - A novel method for separation of a class of convolutive mixtures is proposed, in which the received sensor signals are first transformed into instantaneous mixtures and then standard blind source separation (BSS) algorithms for instantaneous mixtures are applied. Since partial information about the mixing mechanism is required in the design of the transformation, the proposed method is strictly speaking semi-blind. From the beamforming viewpoint, the proposed approach represents a blind broadband beamforming method. As the separation is performed in fullband and only one separation is needed, the permutation problem associated with the frequency-domain BSS is avoided and the separation can be easily implemented online. Simulation results verify the usefulness of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=33646769302&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2005.1416296
DO - 10.1109/ICASSP.2005.1416296
M3 - Conference article published in proceeding or book
AN - SCOPUS:33646769302
SN - 0780388747
SN - 9780780388741
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - V285-V288
BT - 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Y2 - 18 March 2005 through 23 March 2005
ER -