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Cited by 779

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Parameter estimation of superimposed signals using the EM algorithm

Feder, M., Weinstein, E.·1988·IEEE Transactions on Acoustics, Speech, and Signal Processing

Abstract

A computationally efficient algorithm for parameter estimation of superimposed signals based on the two-step iterative EM (estimate-and-maximize, with an E step and an M step) algorithm is developed. The idea is to decompose the observed data into their signal components and then to estimate the parameters of each signal component 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 multiple-source location estimation problems is considered.>

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Metadata

Authors
Feder, M., & Weinstein, E.
Venue
IEEE Transactions on Acoustics, Speech, and Signal Processing
Published
1988-04
Volume
36
Issue
4
Pages
477-489
ISSN
0096-3518 (ISSN-L)
OpenAlex
W2154191559
Cited by
779
References
1
FWCI
11.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Parameter estimation of superimposed signals using the EM algorithm. https://app.cochat.ai/papers/10.1109/29.1552
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Feder, M., & Weinstein, E. (1988). Parameter estimation of superimposed signals using the EM algorithm. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/29.1552

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