Name
Abstract | ||
|---|---|---|
Modern compression codes exploit signals' complex structures to encode them very efficiently. On the other hand, compressed sensing algorithms recover “structured” signals from their under-determined set of linear measurements. Currently, there is a noticeable gap between the types of structures used in the area of compressed sensing and those employed by state-of-the-art compression codes. Recent... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TIT.2017.2726549 | IEEE Transactions on Information Theory |
Keywords | Field | DocType |
Compressed sensing,Decoding,Distortion,Distortion measurement,Rate-distortion,Algorithm design and analysis,Noise measurement | Information dimension,Compression (physics),Mathematical optimization,Bridging (networking),Stationary process,Stochastic process,Data compression,Distortion,Mathematics,Compressed sensing | Journal |
Volume | Issue | ISSN |
63 | 10 | 0018-9448 |
Citations | PageRank | References |
5 | 0.47 | 41 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Farideh Ebrahim Rezagah | 1 | 5 | 1.15 |
| Shirin Jalali | 2 | 11 | 1.61 |
| Elza Erkip | 3 | 7302 | 683.86 |
| H. V. Poor | 4 | 25411 | 1951.66 |