EEMD and Multiscale PCA-Based Signal Denoising Method and Its Application to Seismic P-Phase Arrival Picking [PDF]
Sensors, 2021 Signal denoising is one of the most important issues in signal processing, and various techniques have been proposed to address this issue. A combined method involving wavelet decomposition and multiscale principal component analysis (MSPCA) has been ...
Kang Peng, Hongyang Guo, Xueyi Shang
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Chaotic signal denoising based on energy selection TQWT and adaptive SVD [PDF]
Scientific Reports, 2023 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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Denoising stacked autoencoders for transient electromagnetic signal denoising [PDF]
Nonlinear Processes in Geophysics, 2019 The transient electromagnetic method (TEM) is extremely important in geophysics. However, the secondary field signal (SFS) in the TEM received by coil is easily disturbed by random noise, sensor noise and man-made noise, which results in the difficulty ...
F. Lin +9 more
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Sparse Reconstruction for Enhancement of the Empirical Mode Decomposition-Based Signal Denoising
IEEE Access, 2020 Effective signal denoising methods are essential for science and engineering. In general, denoising algorithms may be either linear or non-linear. Most of the linear ones are unable to remove the noise from the real-world measurements.
Krzysztof Brzostowski
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Fusion denoising algorithm for vibration signal of mine hoist with low signal-to-noise ratio
Gong-kuang zidonghua, 2023 Aiming at the nonlinear and low signal-to-noise ratio characteristics of mine hoist vibration signal in complex environments, a mine hoist vibration signal fusion denoising algorithm based on complete EEMD with adaptive noise (CEEMDAN) and adaptive ...
WANG Houchao +3 more
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Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism [PDF]
SensorsPulsed eddy current (PEC) testing technology has been widely used in the field of non-destructive testing of metal grounding structures due to its wide-band excitation and response characteristics.
Yun Zuo +11 more
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Signal Denoising Based on Duffing Oscillators System
IEEE Access, 2020 Signal denoising is an important aspect of signal processing. It is a meaningful direction to solve this problem by using chaotic oscillator. As a kind of chaotic oscillator, Duffing oscillator is often used in the field of periodic signal or pulse ...
Wenmao Luo, Yingliu Cui
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A reliable evaluation approach for multichannel signal denoising algorithms based on a novel arterial pulse acquisition system [PDF]
HeliyonBackground: Tactile sensors are utilized to measure multichannel pulse signals in pulse wave analysis (PWA). Owing to noise interferences, researchers have applied various denoising algorithms on multichannel pulse signals.
Chao Chen +6 more
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Entropy, 2018 Owing to the complexity of the ocean background noise, underwater acoustic signal denoising is one of the hotspot problems in the field of underwater acoustic signal processing.
Yuxing Li +5 more
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Optimal Wavelet Selection for Signal Denoising [PDF]
IEEE AccessWavelet denoising plays a key role in removing noise from signals and is widely used in many applications. In denoising, selection of the mother wavelet is desirable for maximizing the separation of noise and signal coefficients in the wavelet domain for effective noise thresholding. At present, wavelet selection is carried out in a heuristic manner or
Gyana Ranjan Sahoo +2 more
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