Name
Abstract | ||
|---|---|---|
Recent results in compressive sampling have shown that sparse signals can be recovered from a small number of random measurements. This property raises the question of whether random measurements can provide an efficient representation of sparse signals in an information-theoretic sense. Through both theoretical and experimental results, we show that encoding a sparse signal through simple scalar ... |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/MSP.2007.915001 | IEEE Signal Processing Magazine |
Keywords | DocType | Volume |
Sampling methods,Image coding,Signal processing,Loss measurement,Quantization,Size measurement,Information theory,Costs,Signal sampling,Digital signal processing | Journal | 25 |
Issue | ISSN | Citations |
2 | 1053-5888 | 107 |
PageRank | References | Authors |
5.30 | 19 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vivek K. Goyal | 1 | 2031 | 171.16 |
| Alyson K. Fletcher | 2 | 552 | 41.10 |
| Sundeep Rangan | 3 | 3101 | 163.90 |