Title
Robust Compressive Two-Dimensional Near-Field Millimeter-Wave Image Reconstruction in Impulsive Noise.
Abstract
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 Lyu100.68
Dongjie Bi201.69
Xifeng Li311.71
Yongle Xie4205.84