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Tree-Structured compressive sensing with variational bayesian analysis

Publication ,  Journal Article
He, L; Chen, H; Carin, L
Published in: IEEE Signal Processing Letters
November 12, 2010

In compressive sensing (CS) the known structure in the transform coefficients may be leveraged to improve reconstruction accuracy. We here develop a hierarchical statistical model applicable to both wavelet and JPEG-based DCT bases, in which the tree structure in the sparseness pattern is exploited explicitly. The analysis is performed efficiently via variational Bayesian (VB) analysis, and comparisons are made with MCMC-based inference, and with many of the CS algorithms in the literature. Performance is assessed for both noise-free and noisy CS measurements, based on both JPEG-DCT and wavelet representations. © 2009 IEEE.

Duke Scholars

Published In

IEEE Signal Processing Letters

DOI

ISSN

1070-9908

Publication Date

November 12, 2010

Volume

17

Issue

3

Start / End Page

233 / 236

Related Subject Headings

  • Networking & Telecommunications
  • 4603 Computer vision and multimedia computation
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing
 

Citation

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He, L., Chen, H., & Carin, L. (2010). Tree-Structured compressive sensing with variational bayesian analysis. IEEE Signal Processing Letters, 17(3), 233–236. https://doi.org/10.1109/LSP.2009.2037532
He, L., H. Chen, and L. Carin. “Tree-Structured compressive sensing with variational bayesian analysis.” IEEE Signal Processing Letters 17, no. 3 (November 12, 2010): 233–36. https://doi.org/10.1109/LSP.2009.2037532.
He L, Chen H, Carin L. Tree-Structured compressive sensing with variational bayesian analysis. IEEE Signal Processing Letters. 2010 Nov 12;17(3):233–6.
He, L., et al. “Tree-Structured compressive sensing with variational bayesian analysis.” IEEE Signal Processing Letters, vol. 17, no. 3, Nov. 2010, pp. 233–36. Scopus, doi:10.1109/LSP.2009.2037532.
He L, Chen H, Carin L. Tree-Structured compressive sensing with variational bayesian analysis. IEEE Signal Processing Letters. 2010 Nov 12;17(3):233–236.

Published In

IEEE Signal Processing Letters

DOI

ISSN

1070-9908

Publication Date

November 12, 2010

Volume

17

Issue

3

Start / End Page

233 / 236

Related Subject Headings

  • Networking & Telecommunications
  • 4603 Computer vision and multimedia computation
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing