TY - JOUR
T1 - NEW CLASS OF SEQUENTIAL AND ADAPTIVE ALGORITHMS WITH APPLICATION TO NOISE CANCELLATION.
AU - Feder, Meir
AU - Weinstein, Ehud
AU - Oppenheim, Alan V.
PY - 1988
Y1 - 1988
N2 - A class of sequential and adaptive algorithms for parameter estimation are presented that are based on the iterative estimate-maximize (EM) algorithm. In some cases sequential algorithms are derived that perform an exact EM step in each recursion; an example for these cases is given for the linear least-squares problem. In general, however, it is necessary to approximate the EM iteration in order to develop sequential algorithms. The application of this class of algorithms to the two-microphone noise cancellation problem is described.
AB - A class of sequential and adaptive algorithms for parameter estimation are presented that are based on the iterative estimate-maximize (EM) algorithm. In some cases sequential algorithms are derived that perform an exact EM step in each recursion; an example for these cases is given for the linear least-squares problem. In general, however, it is necessary to approximate the EM iteration in order to develop sequential algorithms. The application of this class of algorithms to the two-microphone noise cancellation problem is described.
UR - http://www.scopus.com/inward/record.url?scp=0023672880&partnerID=8YFLogxK
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AN - SCOPUS:0023672880
SN - 0736-7791
SP - 557
EP - 560
JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
ER -