Bayesian compressive sensing for cluster structured sparse signals

@article{Yu2012BayesianCS,
  title={Bayesian compressive sensing for cluster structured sparse signals},
  author={Lei Yu and Hong Sun and Jean-Pierre Barbot and Gang Zheng},
  journal={Signal Processing},
  year={2012},
  volume={92},
  pages={259-269}
}
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. Other than sparse prior, structures on the sparse pattern of the signal have also been used as an additional prior, called modelbased compressive sensing, such as clustered structure and tree structure on wavelet coefficients. In this paper, the cluster structured sparse signals are investigated. Under the framework of… CONTINUE READING
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