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Published in 2018 at "Science China Mathematics"
DOI: 10.1007/s11425-017-9260-8
Abstract: Variational methods have become an important kind of methods in signal and image restoration-a typical inverse problem. One important minimization model consists of the squared ℓ2 data fidelity (corresponding to Gaussian noise) and a regularization…
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Keywords:
general truncated;
framework;
image restoration;
signal image ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2870557
Abstract: Neurological signal processing is of significance not only the physiologist doing research and the clinician investigating patients but also to the biomedical engineer who is needed to collect, process, and interpret the physiological signals by…
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Keywords:
brain signal;
signal image;
time;
packet sniffer ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3034752
Abstract: The considerable prospecting depth and accurate subsurface characteristics can be obtained by the transient electromagnetic method (TEM) in geophysics. Nevertheless, the time-domain TEM signal received by the coil is easily disturbed by environmental background noise,…
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Keywords:
signal image;
temdnet;
image transformation;
novel deep ... See more keywords
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Published in 2017 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2017.2690464
Abstract: With the expansion of the use of electrical drive systems to more critical applications, the issue of reliability and fault mitigation and condition-based maintenance have consequently taken an increasing importance: it has become a crucial…
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Keywords:
special section;
signal image;
advanced signal;
techniques electric ... See more keywords