Denoising method of ground-penetrating radar signal based on independent component analysis with multifractal spectrum

R Li, H Zhang, Z Chen, N Yu, W Kong, T Li, E Wang… - Measurement, 2022 - Elsevier
Denoising is commonly used to improve the signal-to-noise ratio of ground-penetrating
radar (GPR) for target detection and recognition. We propose an adaptive GPR denoising …

An effective approach to attenuate random noise based on compressive sensing and curvelet transform

W Liu, S Cao, Y Chen, S Zu - Journal of Geophysics and …, 2016 - academic.oup.com
Random noise attenuation is an important step in seismic data processing. In this paper, we
propose a novel denoising approach based on compressive sensing and the curvelet …

GPR signal denoising and target extraction with the CEEMD method

J Li, C Liu, Z Zeng, L Chen - IEEE Geoscience and Remote …, 2015 - ieeexplore.ieee.org
In this letter, we apply a time and frequency analysis method based on the complete
ensemble empirical mode decomposition (CEEMD) method in ground-penetrating radar …

Adaptive clutter suppression and detection algorithm for radar maneuvering target with high-order motions via sparse fractional ambiguity function

X Chen, X Yu, Y Huang, J Guan - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Radar maneuvering target detection in clutter background should not only consider the
complex characteristics of the target to accumulate its energy as much as possible, but also …

Ground moving target extraction in a multichannel wide-area surveillance SAR/GMTI system via the relaxed PCP

H Yan, R Wang, F Li, Y Deng… - IEEE Geoscience and …, 2012 - ieeexplore.ieee.org
This letter presents a novel approach for extracting moving targets in a multichannel wide-
area surveillance radar system. In the algorithm, after proper preprocessing and matrix …

[HTML][HTML] A denoising method for ship radiated noise based on Spearman variational mode decomposition, spatial-dependence recurrence sample entropy, improved …

H Yang, Y Cheng, G Li - Alexandria Engineering Journal, 2021 - Elsevier
Ship radiated noise denoising is the basis and premise of underwater acoustic signal
processing. To obtain better denoising effect, a new denoising method for ship radiated …

A fully unsupervised and highly generalized deep learning approach for random noise suppression

OM Saad, Y Chen - Geophysical Prospecting, 2021 - earthdoc.org
In this study, we proposed a deep learning algorithm (PATCHUNET) to suppress random
noise and preserve the coherent seismic signal. The input data are divided into several …