Paper Info
Title
Parameter estimation of superimposed signals using the EM algorithm
Abstract
We develop a computationally efficient algorithm for pa- rameter estimation of superimposed signals based on the EM algo- rithm. The idea is to decompose the observed data into their signal components and then to estimate the parameters of each signal com- ponent separately. The algorithm iterates back and forth, using the current parameter estimates to decompose the observed data better and thus increase the likelihood of the next parameter estimates. The application of the algorithm to the multipath time delay and to the multiple source location estimation problems is considered.
Year
DOI
Venue
1988
10.1109/29.1552
IEEE Trans. Acoustics, Speech, and Signal Processing
Field
DocType
Volume
Multipath propagation,Signal processing,Mathematical optimization,Iterative method,Expectation–maximization algorithm,Estimation theory,Iterated function,Mathematics
Journal
36
Issue
ISSN
Citations 
4
0096-3518
207
PageRank 
References 
Authors
74.31
4
2
Search Limit
100207
Name
Order
Citations
PageRank
Meir Feder1809174.02
EHUD WEINSTEIN2347114.98