Compressive Sensing for streaming signals using the Streaming Greedy Pursuit

@article{Petros2010CompressiveSF,
  title={Compressive Sensing for streaming signals using the Streaming Greedy Pursuit},
  author={T. Boufounos Petros and Muhammad Salman Asif},
  journal={2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE},
  year={2010},
  pages={1205-1210}
}
Compressive Sensing (CS) has recently emerged as significant signal processing framework to acquire and reconstruct sparse signals at rates significantly below the Nyquist rate. However, most of the CS development to-date has focused on finite-length signals and representations. In this paper we present a new CS framework and a greedy reconstruction algorithm, the Streaming Greedy Pursuit (SGP), explicitly designed for streaming applications and signals of unknown length. Our sampling framework… CONTINUE READING
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