Results 21 to 30 of about 462,479 (185)
A fast reverberation suppression method based on graph Laplacian regularization [PDF]
Traditional low-rank and sparse decomposition methods impose a global low-rank constraint for estimating the reverberation subspace, but they face performance degradation with limited samples and require computationally expensive singular value ...
Wenbo Gou, Hong Liang, Pulin Yang
doaj +1 more source
Partial Discharge Signal Extraction Method Based on EDSSV and Low Rank RBF Neural Network
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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Liu-Yitao/mtm-svd-python: MTM-SVD with Monte Carlo test
This script is a modified version of the Python function developed by Mathilde Jutras at McGill University, Canada[1]. You can find the original Python code here: https://github.com/mathildejutras/mtm-svd-python The Monte Carlo test is quite slow, make
Liu-Yitao, Mathilde Jutras
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Clustering before training large datasets - Case study: K-SVD [PDF]
Training and using overcomplete dictionaries has been the subject of many developments in the area of signal processing and sparse representations. The main idea is to train a dictionary that is able to achieve good sparse representations of the items ...
Rusu, Cristian
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Distributed array radar achieves high angular resolution and measurement accuracy, which could provide a solution to suppress digital radio frequency memory (DRFM) repeater jamming.
Bowen Han +4 more
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Ultrafast compound Doppler imaging (UCDI), which can be used to acquire Doppler information at very high spatial and temporal sampling rates, provides a great improvement to the characterization of the vasculature.
Yang Jiao +5 more
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As a new type of jamming, the interrupted sampling repeater jamming (ISRJ) derived from the digital radio frequency memory (DRFM) technology, can generate coherent multiple false targets after pulse compression.
Muyao Yu +3 more
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Chaotic signal denoising based on energy selection TQWT and adaptive SVD
Aiming at the problem of denoising chaotic signals with low signal-to-noise ratio and unknown dynamic system parameters, a new chaotic signal denoising algorithm is proposed, which combines adjustable Q-factor wavelet transform (TQWT) and adaptive ...
Xinlu Yang, Wenbo Wang
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This paper presents an effective excitation synthesis algorithm of phased arrays of antennas to optimize the radiation patterns under minimum mutual coupling/induction interferences between two nearby arrays.
Hsi-Tseng Chou +2 more
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Complex-domain SVD- and sparsity-based denoising for optical diffraction tomography
In this paper, we adopt a complex-domain cube filter (CCF) developed for hyperspectral 3D complex domain images for noise suppression of 3D complex-valued data in optical diffraction tomography.
Ziemczonok, Michal +3 more
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