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Published in 2019 at "Composite Structures"
DOI: 10.1016/j.compstruct.2018.10.097
Abstract: Abstract Ultrasonic guided wave is a promising tool for structural health monitoring and nondestructive testing. Numerous signal processing methods have been proposed to detect and localize anomalies based on ultrasonic guided waves for plate-like structures.…
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Keywords:
anomaly imaging;
sparse reconstruction;
weighted sparse;
wave ... See more keywords
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Published in 2017 at "IETE Journal of Research"
DOI: 10.1080/03772063.2016.1274240
Abstract: ABSTRACT Dimensionality reduction algorithms are widely applied to high-dimensional data pre-processing, especially for face images. In this paper, we propose an unsupervised sparse subspace learning approach called weighted sparse neighbourhood-preserving projections (WSNPP) for face recognition.…
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Keywords:
weighted sparse;
neighbourhood preserving;
preserving projections;
sparse neighbourhood ... See more keywords
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Published in 2018 at "Journal of Biomedical Optics"
DOI: 10.1117/1.jbo.23.3.036011
Abstract: Abstract. We present a nonlocal weighted sparse representation (NWSR) method for reconstruction of retinal optical coherence tomography (OCT) images. To reconstruct a high signal-to-noise ratio and high-resolution OCT images, utilization of efficient denoising and interpolation…
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Keywords:
optical coherence;
weighted sparse;
sparse representation;
coherence tomography ... See more keywords
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Published in 2022 at "Entropy"
DOI: 10.3390/e24010096
Abstract: Synthetic aperture radar (SAR) images are inherently degraded by speckle noise caused by coherent imaging, which may affect the performance of the subsequent image analysis task. To resolve this problem, this article proposes an integrated…
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Keywords:
aperture radar;
synthetic aperture;
sparse coding;
weighted sparse ... See more keywords