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 language | English |
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Pages (from-to) | 1762-1765 |
Number of pages | 4 |
Journal | Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing |
State | Published - 1985 |
Externally published | Yes |