Results 11 to 20 of about 62,622 (323)
IET Science, Measurement & Technology, 2023 This paper proposes a feature extraction method combining adaptive variational mode decomposition (AVMD) and singular value decomposition (SVD) for electric shock fault‐type identification.
Hongzhang Zhu +4 more
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Strong Robust Digital Watermark Algorithm Based on Contourlet Singular Value Decomposition [PDF]
Jisuanji gongcheng, 2016 In digital watermark technology of Singular Value Decomposition(SVD),to improve the robustness and solve the problem of watermark false alarm errors,an improved SVD strong robust watermark algorithm is proposed.The original image is decomposed using ...
XIAO Zhenjiu,LI Nan,WANG Yongbin,JIANG Zhengtao,CHEN Hong
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Recommendation System Algorithms on Location-Based Social Networks: Comparative Study
Information, 2022 Currently, social networks allow individuals from all over the world to share ideas, activities, events, and interests over the Internet. Using location-based social networks (LBSNs), users can share their locations and location-related content ...
Abeer Al-Nafjan +2 more
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Zhongguo dianli, 2021 Partial discharge signals are prone to missed detection under low signal-to-noise ratios, and the traditional singular value decomposition algorithm requires massive calculations when extracting partial discharge pulses.
Li WANG, Wei ZHANG, Dingnan LUO
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Partial Discharge Signal Extraction Method Based on EDSSV and Low Rank RBF Neural Network
IEEE Access, 2021 The detection process of partial discharge (PD) ultra-high frequency (UHF) signal is easily affected by white noise and periodic narrowband noise, which hinder the fault diagnosis of high-voltage electrical appliances.
Xiaoli Yang +4 more
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Quaternion tensor singular value decomposition using a flexible transform-based approach [PDF]
Signal Processing, 2021 A flexible transform-based tensor product named $\star_{{\rm{QT}}}$-product for $L$th-order ($L\geq 3$) quaternion tensors is proposed. Based on the $\star_{{\rm{QT}}}$-product, we define the corresponding singular value decomposition named TQt-SVD and ...
Jifei Miao, K. Kou
semanticscholar +1 more source
Two-Channel Information Fusion Weak Signal Detection Based on Correntropy Method
Applied Sciences, 2022 In recent years, as a simple and effective method of noise reduction, singular value decomposition (SVD) has been widely concerned and applied. The idea of SVD for denoising is mainly to remove singular components (SCs) with small singular value (SV ...
Siqi Gong +5 more
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Reseaech on identification of caving coal and rock traits
Gong-kuang zidonghua, 2017 In order to recognize caving coal and rock traits in fully mechanized caving face, an identification method based on continuous wavelet transform and improved singular value decomposition (SVD) was proposed.
LI Yiming, FU Shichen, LI Rui, WU Miao
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Energies, 2022 This paper proposes a denoising method of vibration signal based on improved multiresolution singular value decomposition (IMRSVD) and effective component selection.
Xihui Chen +3 more
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Color to Grayscale Image Conversion Based on Singular Value Decomposition
IEEE Access, 2023 Color information is useless for distinguishing significant edges and features in numerous applications. In image processing, a gray image discards much-unrequired data in a color image.
Zaid Nidhal Khudhair +6 more
semanticscholar +1 more source