Title | ||
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Joint Wideband Interference Suppression and SAR Signal Recovery Based on Sparse Representations. |
Abstract | ||
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The problem of synthetic aperture radar image recovery in the presence of wideband interference (WBI) is investigated. Delayed versions of a transmitted signal are utilized to construct a dictionary in which a signal of interest (SOI) has a sparse representation. In this letter, WBI is sparsely represented by the time-frequency domain. By utilizing the transform domains, a joint estimation approac... |
Year | DOI | Venue |
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2017 | 10.1109/LGRS.2017.2721425 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Optimization,Interference,Dictionaries,Synthetic aperture radar,Time-frequency analysis,Estimation,Convex functions | Synthetic aperture radar,Signal recovery,Signal of interest,Interference (wave propagation),Artificial intelligence,Computer vision,Wideband,Sparse approximation,Algorithm,Speech recognition,Convex function,Time–frequency analysis,Mathematics | Journal |
Volume | Issue | ISSN |
14 | 9 | 1545-598X |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hongqing Liu | 1 | 45 | 28.77 |
Dong Li | 2 | 10 | 2.63 |
Yi Zhou | 3 | 15 | 9.83 |
Trieu-Kien Truong | 4 | 382 | 59.00 |