Name
Abstract | ||
|---|---|---|
Recent results in compressed sensing show that a sparse or compressible signal can be reconstructed from a few incoherent measurements. Compressive sensing systems are not immune to noise, which is always present in practical acquisition systems. In this paper we propose robust methods for sampling and reconstructing sparse signals in the presence of impulsive noise. Analysis of the proposed methods demonstrates their robustness under heavy-tailed models. Simulations show that the proposed methods outperform existing compressed sensing techniques in impulsive environments, while having similar performance in light-tailed environments. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICASSP.2009.4960225 | ICASSP |
Keywords | Field | DocType |
light-tailed environment,reconstruction method,sparse signal,robust sampling,impulsive environment,heavy-tailed model,impulsive noise,incoherent measurement,recent result,practical acquisition system,compressible signal,signal to noise ratio,image reconstruction,sampling methods,robustness,impulse noise,heavy tail,noise measurement,compressed sensing,noise,signal processing,signal reconstruction | Iterative reconstruction,Signal processing,Noise measurement,Pattern recognition,Computer science,Signal-to-noise ratio,Robustness (computer science),Impulse noise,Artificial intelligence,Signal reconstruction,Compressed sensing | Conference |
ISSN | Citations | PageRank |
1520-6149 | 0 | 0.34 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rafael E. Carrillo | 1 | 250 | 15.90 |
| Kenneth E. Barner | 2 | 812 | 70.19 |
| Tuncer C. Aysal | 3 | 468 | 26.75 |