A new class of sequential and adaptive algorithms with application to noise cancellation

Author

Feder, Meid ; Weinstein, Ehud ; Oppenheim, Alan V.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA

fYear

1988

fDate

11-14 Apr 1988

Firstpage

557

Abstract

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

Keywords

interference suppression; iterative methods; parameter estimation; signal processing; adaptive algorithms; iterative estimate-maximise algorithm; linear least-squares problem; noise cancellation; parameter estimation; sequential algorithms; signal processing; two-microphone noise cancellation; Adaptive algorithm; Adaptive signal processing; Current measurement; Data engineering; Electrical capacitance tomography; Iterative algorithms; Noise cancellation; Parameter estimation; Resonance light scattering; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Conference_Location

New York, NY

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1988.196644

Filename

196644