Sampling and recovery of pulse streams
| Title | Sampling and recovery of pulse streams |
| Publication Type | Journal Article |
| Authors | C. Hegde, and R. G. Baraniuk |
| Abstract | 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< |
| Acknowledgements | This work was supported by, or in part by, grants NSF CCF-0431150, CCF-0728867, CCF-0926127 and CNS-0520280, DARPA/ONR N66001-08-1-2065, ONR N00014-07-1-0936, N00014-08-1-1112, N00014-08-1-1067, N00014-08-1-1066, and N00014-09-1-1162, AFOSR FA9550-07-1-0301 and FA9550-09-1-0432, ARO MURIs W911NF-07-1-0185 and W911NF-09-1-0383, and the Texas Instruments Leadership University Program. |
| Year of Publication | 2011 |
| Month | Apr. |
| Journal | IEEE Transactions on Signal Processing |
| Volume | 59 |
| Issue/Number | 4 |
| Pages | 1505-1517 |
| URL | http://arxiv.org/abs/1004.3273 |
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