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Estimation of spectral lines using expectation propagation

Abstract:
We consider the line spectral estimation (LSE) from general linear/nonlinear measurements obtained through a generalized linear model (GLM). This paper develops expectation propagation (EP) based LSE (EPLSE) method. The proposed method automatically estimates the model order, noise variance, and can deal with the nonlinear measurements. Numerical experiments show the excellent performance of EPLSE.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/ICASSP48485.2024.10445830

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0003-1581-5598

More from this funder
Funder identifier:
https://ror.org/04aqat463
Grant:
LY22F010009
More from this funder
Funder identifier:
https://ror.org/01h0zpd94
Grant:
62371420
61901415

Publisher:
IEEE
Host title:
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Pages:
13471-13475
Publication date:
2024-03-18
Acceptance date:
2023-12-13
Event title:
2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024)
Event location:
Seoul, Korea
Event website:
https://2024.ieeeicassp.org/
Event start date:
2024-04-14
Event end date:
2024-04-19
DOI:
EISSN:
2379-190X
ISSN:
1520-6149
EISBN:
9798350344851
ISBN:
9798350344868

Language:
English
Keywords:
Pubs id:
1593680
Local pid:
pubs:1593680
Deposit date:
2024-01-02
ARK identifier:

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