Variational Bayesian Sparse Signal Recovery With LSM Prior
This paper presents a new sparse signal recovery algorithm using variational Bayesian inference based on the Laplace approximation. The sparse signal is modeled as the Laplacian scale mixture (LSM) prior. The Bayesian inference with the Laplacian models is a challenge because the Laplacian prior is...
| Hauptverfasser: | , , , |
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| Weitere Verfasser: | |
| Format: | Journal Article |
| Sprache: | English |
| Veröffentlicht: |
2017
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| Schlagworte: | |
| Online Zugang: | https://hdl.handle.net/10356/86866 http://hdl.handle.net/10220/44225 |