OPTIMAL MULTIPLE SOURCE LOCATION ESTIMATION VIA THE EM ALGORITHM.

Meir Feder*, Ehud Weinstein

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

11 Scopus citations

Abstract

The authors have developed an algorithm for multiple source localization based on the estimate-maximize (EM) method. The EM method is an iterative algorithm that converges to the maximum-likelihood (ML) estimate of the unknown parameters by exploiting the stochastic system under consideration. In the case considered the algorithm will converge to the exact ML estimates of the various source location parameters, where each iteration increases the likelihood of those parameters.

Original languageEnglish
Pages (from-to)1762-1765
Number of pages4
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
StatePublished - 1985
Externally publishedYes

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