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Clutter Elimination and Random-Noise Denoising of GPR Signals Using an SVD Method Based on the Hankel Matrix in the Local Frequency Domain

Sensors, 2018
Ground-penetrating radar (GPR) is a kind of high-frequency electromagnetic detection technology. It is mainly used to locate targets and interfaces in underground structures.
Wenda Bi, Yonghui Zhao, Cong An, Shufan Hu +3 more
doaj +1 more source

An order insensitive optimal generalised sequential fusion estimation for stochastic uncertain multi‐sensor systems with correlated noise

IET Signal Processing, 2023
The globally optimal generalised sequential fusion (GSF) algorithm in the sense of linear minimum variance for multi‐sensor stochastic uncertain systems is investigated by the authors.
Dejin Wang, Zhongxin Liu, Zengqiang Chen
doaj +1 more source

Quantum-Accelerated Dictionary Learning Based on HHL and QSVT for Seismic Data Denoising

IEEE Access
In seismic data processing, denoising is crucial for identifying the Earth’s subsurface structure. Erratic noise in seismic data is challenging because of its high amplitude and non-Gaussian distribution characteristics.
Nakka Shekhar, Karthikeyan Elumalai
doaj +1 more source

Enhancement of motor learning through the use of two different transcranial electrical stimulation protocols in healthy adults

Revista Mexicana de Investigación Médica
The use of transcranial electrical stimulation (TES) to enhance motor learning is a topic of great interest in physical rehabilitation and the context of sports performance.
Luis Fabián Álvarez Hernández +3 more
doaj +1 more source

Reactive Power Optimization Strategy for Offshore Wind Farms Based on Deep Reinforcement Learning

发电技术
ObjectivesThe coordinated control of reactive power and voltage optimization based on optimal power flow theory can effectively reduce system voltage deviations during wind farm grid connection. However, traditional methods rely on detailed parameters of
CHEN Lidan, WANG Lei, TAN Hongtao, ZHANG Zhe +3 more
doaj +1 more source

Seismic Random Noise Suppression Using Optimal ANFIS as an Adaptive Self-Tuning Filter and Wavelet Thresholding

IEEE Access
Random noise attenuation plays a vital step in seismic signal processing. Numerous attenuation algorithms have been developed to separate and remove the random noise; nevertheless, they have failed to attain high precision.
K. Geetha, Malaya Kumar Hota
doaj +1 more source

Suppression of polarization random noise in a two-dimensional force sensorbased on random forest [PDF]

Journal of Sensors and Sensor Systems
To improve the accuracy of polarization random noise signal recognition and the noise suppression effect, a method of polarization random noise suppression in a two-dimensional force sensor based on random forest is proposed.
J. Liu
doaj +1 more source

Reduced dimension modeling of leading edge turbulent interaction noise [PDF]

, 2014
A computational aeroacoustics approach is used to model the effects of real airfoil geometry on leading edge turbulent interaction noise for symmetric airfoils at zero angle of attack.
Zhang, Xin +7 more
core +1 more source

Accelerated random noise suppression of seismic data using compressed singular-value decomposition

矿业科学学报
Random noise is one of the common background noises in seismic data, and its attenuation will directly affect the signal-to-noise ratio of seismic data, which is of great significance to improve the quality of seismic data.
SUN Chao +4 more
doaj +1 more source

Trailing-edge noise reduction of a wing by a surface modification

, 2021
There is an increased emphasis on reducing airframe noise in the last decades. Airframe noise is sound generated by the interaction of a turbulent flow with the aircraft geometry, and significantly contributes to the overall noise production during the ...
Kozulovic, Dragan +2 more
core +1 more source

seismic data
deep learning
noise suppression

denoising