Structured Compressed Sensing: From Theory to Applications

  title={Structured Compressed Sensing: From Theory to Applications},
  author={Marco F. Duarte and Yonina C. Eldar},
  journal={IEEE Transactions on Signal Processing},
Compressed sensing (CS) is an emerging field that has attracted considerable research interest over the past few years. Previous review articles in CS limit their scope to standard discrete-to-discrete measurement architectures using matrices of randomized nature and signal models based on standard sparsity. In recent years, CS has worked its way into several new application areas. This, in turn, necessitates a fresh look on many of the basics of CS. The random matrix measurement operator must… CONTINUE READING
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Xampling: Compressed sensing for analog signals

  • M. Mishali, Y. C. Eldar
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