A Hyperprior for Sparse Signal Estimation

Timothy J. Schulz

doi:10.1364/COSI.2007.CTuC4

Adaptive Optics: Analysis and Methods/Computational Optical Sensing and Imaging/Information Photonics/Signal Recovery and Synthesis Topical Meetings on CD-ROM
OSA Technical Digest (CD) (Optica Publishing Group, 2007),
paper CTuC4
•https://doi.org/10.1364/COSI.2007.CTuC4

A Hyperprior for Sparse Signal Estimation

Timothy J. Schulz

Computational Optical Sensing and Imaging 2007

Vancouver Canada
18–20 June 2007
ISBN: 1-55752-838-1

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Mathematical Methods (CTuC)

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T. J. Schulz, "A Hyperprior for Sparse Signal Estimation," in Adaptive Optics: Analysis and Methods/Computational Optical Sensing and Imaging/Information Photonics/Signal Recovery and Synthesis Topical Meetings on CD-ROM, OSA Technical Digest (CD) (Optica Publishing Group, 2007), paper CTuC4.

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Abstract

The problem of estimating a sparse signal from compressive sampling data is addressed by utilizing a conditionally independent Gaussian prior for the sparse signal parameters, and a novel hyperprior for the signal variances.

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