Learning to Sense Sparse Signals: Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization

@article{DuarteCarvajalino2009LearningTS,
  title={Learning to Sense Sparse Signals: Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization},
  author={Julio Martin Duarte-Carvajalino and Guillermo Sapiro},
  journal={IEEE Transactions on Image Processing},
  year={2009},
  volume={18},
  pages={1395-1408}
}
Sparse signal representation, analysis, and sensing have received a lot of attention in recent years from the signal processing, optimization, and learning communities. On one hand, learning overcomplete dictionaries that facilitate a sparse representation of the data as a liner combination of a few atoms from such dictionary leads to state-of-the-art results in image and video restoration and classification. On the other hand, the framework of compressed sensing (CS) has shown that sparse… CONTINUE READING
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