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Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3266219
Abstract: Compressive sensing (CS) theory have been proposed in the field of radar for target detection. The challenge of CS applied to passive bistatic radar (PBR) lies in the high-computational complexity aggravated by the transmitted signal…
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Keywords:
time;
radar;
transmitted signal;
model ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10051771
Abstract: Overcomplete representation is attracting interest in image restoration due to its potential to generate sparse representations of signals. However, the problem of seeking sparse representation must be unstable in the presence of noise. Restricted Isometry…
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Keywords:
sparse model;
frame;
non tight;
model ... See more keywords
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Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9153126
Abstract: To improve the reconstruction image spatial resolutions of ultrasonic guided wave ray tomography, a sparse model, based on the differences between the inspected and original slowness of the ultrasonic guided waves propagating in the plate-like…
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Keywords:
sparse model;
wave tomography;
tomography;
guided wave ... See more keywords