Sampling and Recovery of Pulse Streams

  title={Sampling and Recovery of Pulse Streams},
  author={Chinmay Hegde and Richard G. Baraniuk},
  journal={IEEE Transactions on Signal Processing},
Compressive sensing (CS) is a new technique for the efficient acquisition of signals, images and other data that have a sparse representation in some basis, frame, or dictionary. By sparse we mean that the N-dimensional basis representation has just K <;<; N significant coefficients; in this case, the CS theory maintains that just M = O( K log N) random linear signal measurements will both preserve all of the signal information and enable robust signal reconstruction in polynomial time. In this… CONTINUE READING
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