Title | ||
---|---|---|
Robust Compressive Two-Dimensional Near-Field Millimeter-Wave Image Reconstruction in Impulsive Noise. |
Abstract | ||
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In this letter, a novel robust two-dimensional nearfield millimeter-wave (MMW) image reconstruction algorithm is developed based on compressed sensing (CS) in the presence of impulsive measurement noise. To enable the sparse MMW image recovery, the CS algorithm usually employs the popular ℓ2-norm as the data fidelity term and a combination of multiple sparsityinduced functions as the penalty term.... |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/LSP.2019.2892515 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Image reconstruction,Image coding,Signal processing algorithms,TV,Two dimensional displays,Noise measurement,Pollution measurement | Iterative reconstruction,Convergence (routing),Extremely high frequency,Pattern recognition,Near and far field,Quadratic equation,Algorithm,Robustness (computer science),Artificial intelligence,Gaussian noise,Mathematics,Compressed sensing | Journal |
Volume | Issue | ISSN |
26 | 4 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jue Lyu | 1 | 0 | 0.68 |
Dongjie Bi | 2 | 0 | 1.69 |
Xifeng Li | 3 | 1 | 1.71 |
Yongle Xie | 4 | 20 | 5.84 |