Name
Abstract | ||
|---|---|---|
We propose a low delay/complexity sensor system based on the combination of Shannon-Kotel'nikov mapping and compressed sensing (CS). The proposed system uses a 1:2 nonlinear analog coder on the CS measurements in the presence of channel noise. It is shown that the purely-analog system, used in conjunction with either maximum a-posteriori or minimum mean square error decoding, outperforms the following reference systems in terms of signal-to-distortion ratio: 1) a conventional CS system that assumes noiseless transmission, and 2) a CS-based system which accounts for channel noise during signal reconstruction. The proposed system is also shown to be advantageous in requiring fewer sensors than the reference systems. |
Year | Venue | Field |
|---|---|---|
2011 | European Signal Processing Conference | Noise floor,Noise measurement,Computer science,Noise (electronics),Algorithm,Minimum mean square error,Noise temperature,Speech recognition,Decoding methods,Signal reconstruction,Compressed sensing |
DocType | ISSN | Citations |
Conference | 2076-1465 | 1 |
PageRank | References | Authors |
0.41 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmad Abou Saleh | 1 | 20 | 3.95 |
| W.-Y. Chan | 2 | 114 | 18.25 |
| Fady Alajaji | 3 | 319 | 41.92 |