Modified-CS: Modifying Compressive Sensing for Problems With Partially Known Support

@article{Vaswani2009ModifiedCSMC,
  title={Modified-CS: Modifying Compressive Sensing for Problems With Partially Known Support},
  author={Namrata Vaswani and Wei Lu},
  journal={2009 IEEE International Symposium on Information Theory},
  year={2009},
  pages={488-492}
}
We study the problem of reconstructing a sparse signal from a limited number of its linear projections when a part of its support is known, although the known part may contain some errors. The “known” part of the support, denoted T, may be available from prior knowledge. Alternatively, in a problem of recursively reconstructing time sequences of sparse spatial signals, one may use the support estimate from the previous time instant as the “known” part. The idea of our proposed solution… CONTINUE READING
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Real - time dynamic mri reconstruc ion using kalman filtered cs

  • W. Lu C. Qiu, N. Vaswani
  • IEEE Intl . Conf . Acoustics , Speech , Sig…
  • 2009

Real-time dynamic mri reconstruction using kalman filtered cs," in IEEE IntI. Can

  • C. Qiu, W. Lu, N. Vaswani
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