VAMP-Based Kalman Filtering Under Non-Gaussian Process Noise
Estimating time-varying signals becomes particularly challenging in the face of non-Gaussian (e.g., sparse) and/or rapidly time-varying process noise. By building upon the recent progress in the approximate message passing (AMP) paradigm, this paper unifies the vector variant of AMP (i.e., VAMP) wit...
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| Main Authors: | Tiancheng Gao, Mohamed Akrout, Faouzi Bellili, Amine Mezghani |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Open Journal of Signal Processing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10947573/ |
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