An enhanced rolling bearing fault detection method combining sparse code shrinkage denoising with fast spectral correlation.
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DOI: 10.1016/j.isatra.2020.02.031
Abstract: Rolling bearings are important supporting components widely used in rotating machinery and are prone to failure, it is thus important to perform fault detection of rolling bearing quickly and accurately. Aiming at the problem that… read more here.
Keywords: fast spectral; fault; fault detection; spectral correlation ... See more keywords
A Positive Feedback Spatial-Spectral Correlation Network Based on Spectral Slice for Hyperspectral Image Classification
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DOI: 10.1109/tgrs.2023.3242776
Abstract: The emergence of convolutional neural networks (CNNs) has greatly promoted the development of hyperspectral image classification (HSIC). However, some serious problems are the lack of label samples in hyperspectral images (HSIs), and the spectral characteristics… read more here.
Keywords: positive feedback; spatial spectral; spectral correlation; hyperspectral image ... See more keywords
Spectral Correlation-Based Diverse Band Selection for Hyperspectral Image Classification
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DOI: 10.1109/tgrs.2023.3263580
Abstract: Band selection (BS), which can reduce the spectral dimensionality effectively, has become one of the most popular topics in hyperspectral image (HSI) analysis. Recently, sparse representation-based BS has emerged as a popular tool. The existing… read more here.
Keywords: correlation based; spectral correlation; band selection; correlation ... See more keywords
Spectral-Correlation Based Spectrum Sensing Under Large Delay Spread Channels
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DOI: 10.1109/tvt.2022.3221054
Abstract: Correlation based detectors are very popular for spectrum sensing. In these detectors, temporal correlation is often employed to discriminate the signals of primary users from noises. However, large channel delay spread can significantly decrease the… read more here.
Keywords: spectrum sensing; correlation based; spectral correlation; delay spread ... See more keywords