Maximum-a-posteriori estimation with unknown regularisation parameters

Marcelo Pereyra, Jose M. Bioucas-Dias, Mário A. T. Figueiredo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)
Original languageEnglish
Title of host publication2015 23rd European Signal Processing Conference (EUSIPCO)
Pages230-234
Number of pages5
ISBN (Electronic)978-0-9928-6263-3
DOIs
Publication statusPublished - Dec 2015
Event23rd European Signal Processing Conference 2015 - Nice, France
Duration: 31 Aug 20154 Sep 2015

Conference

Conference23rd European Signal Processing Conference 2015
Abbreviated titleEUSIPCO 2015
CountryFrance
CityNice
Period31/08/154/09/15

Keywords

  • Bayes methods
  • compressed sensing
  • image processing
  • inference mechanisms
  • maximum likelihood estimation
  • wavelet transforms
  • Bayesian inference technique
  • I1-wavelet analysis
  • closed-form analytic expression
  • compressive sensing
  • hierarchical Bayesian method
  • marginalised model
  • maximum-a-posteriori estimation
  • maximum-a-posteriori inference
  • unknown regularisation parameter estimation
  • Approximation methods
  • Compressed sensing
  • Computational modeling
  • Estimation
  • Signal processing
  • Signal processing algorithms
  • hierarchical Bayesian inference
  • inverse problems
  • regularisation parameters
  • statistical signal processing

Cite this

Pereyra, M., Bioucas-Dias, J. M., & Figueiredo, M. A. T. (2015). Maximum-a-posteriori estimation with unknown regularisation parameters. In 2015 23rd European Signal Processing Conference (EUSIPCO) (pp. 230-234) https://doi.org/10.1109/EUSIPCO.2015.7362379