Results 41 to 50 of about 7,858,197 (288)
Noise Spectral of GML Noise and GSR Behaviors for FGLE with Random Mass and Random Frequency
Fractal and Fractional, 2023 Due to the interest of anomalous diffusion phenomena and their application, our work has widely studied a fractional-order generalized Langevin Equation (FGLE) with a generalized Mittag–Leffler (GML) noise.
Lini Qiu +4 more
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Известия высших учебных заведений России: Радиоэлектроника, 2023 Introduction. In the gyrocompassing mode, the initial heading angle of a platformless inertial navigation system (PINS) is determined based on the data obtained from accelerometers and gyroscopes that measure the projections of the gravitational ...
Trong Yen Nguyen +2 more
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Random noise in Diffusion Tensor Imaging, its Destructive Impact and Some Corrections [PDF]
, 2005 The empirical origin of random noise is described, its influence on DTI variables is illustrated by a review of numerical and in vivo studies supplemented by new simulations investigating high noise levels.
A. Renyi +29 more
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A Natural Images Pre-Trained Deep Learning Method for Seismic Random Noise Attenuation
Remote Sensing, 2022 Seismic field data are usually contaminated by random or complex noise, which seriously affect the quality of seismic data contaminating seismic imaging and seismic interpretation. Improving the signal-to-noise ratio (SNR) of seismic data has always been
Haixia Zhao, Tingting Bai, Zhiqiang Wang
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Equivalent qubit dynamics under classical and quantum noise
, 2007 We study the dynamics of quantum systems under classical and quantum noise, focusing on decoherence in qubit systems. Classical noise is described by a random process leading to a stochastic temporal evolution of a closed quantum system, whereas quantum ...
H. J. Charmichael +7 more
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Effects of the low frequencies of noise on On-Off intermittency [PDF]
, 2006 A bifurcating system subject to multiplicative noise can exhibit on-off intermittency close to the instability threshold. For a canonical system, we discuss the dependence of this intermittency on the Power Spectrum Density (PSD) of the noise.
A. Čenys +14 more
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CT Lilun yu yingyong yanjiu, 2023 This study applied the cycle-consistent generative adversarial network method to the denoising of shallow profile data to realize intelligent denoising. This could help resolve the problem of noise and low resolution of shallow profile data.
Yi ZHANG +4 more
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Transient behavior of a population dynamical model [PDF]
, 2004 The transient behavior of an ecosystem with N random interacting species in the presence of a multiplicative noise is analyzed. The multiplicative noise mimics the interaction with the environment.
Fiasconaro, A. +2 more
core +2 more sources
Seismic Data Denoising Based on Wavelet Transform and the Residual Neural Network
Applied Sciences, 2023 The neural network denoising technique has achieved impressive results by being able to automatically learn the effective signal from the data without any assumptions.
Tianwei Lan +3 more
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Scientific Reports, 2019 Transcranial random noise stimulation (tRNS) is a recent neuromodulation protocol. The high-frequency band (hf-tRNS) has shown to be the most effective in enhancing neural excitability.
Beatrice Moret +4 more
semanticscholar +1 more source