Results 31 to 40 of about 7,858,197 (288)
Вестник Самарского государственного технического университета. Серия: Технические науки, 2022 The paper deals with assessing the scope of the approximation algorithm for smoothing chromatographic signals. The algorithm is based on Chebyshev-Hermite functions.
Andrey V. Bochkarev +1 more
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Frontiers in Earth Science, 2023 Convolutional Neural Network (CNN) is widely used in seismic data denoising due to its simplicity and effectiveness. However, traditional seismic denoising methods based on CNN ignore multi-scale features of seismic data in the wavelet domain.
Liangsheng He +5 more
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Seismic Random Noise Attenuation Based on PCC Classification in Transform Domain
IEEE Access, 2020 Random noise attenuation of seismic data is an essential step in the processing of seismic signals. However, as the exploration environment is becoming more and more complicated, the energy of valid signals is weaker and the signal to noise (SNR) is much
Yu Sang +5 more
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On the Interplay between Entropy and Robustness of Gene Regulatory Networks
Entropy, 2010 The interplay between entropy and robustness of gene network is a core mechanism of systems biology. The entropy is a measure of randomness or disorder of a physical system due to random parameter fluctuation and environmental noises in gene regulatory ...
Bor-Sen Chen, Cheng-Wei Li
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Physics, 2023 When a Hamiltonian system undergoes a stochastic, time-dependent anharmonic perturbation, the values of its adiabatic invariants as a function of time follow a distribution whose shape obeys a Fokker–Planck equation.
Nicolas Boulanger +4 more
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Decentralized trade, random utility and the evolution of social welfare [PDF]
, 2004 We study decentralized trade processes in general exchange economies and house allocation problems with and without money. The processes are subject to persistent random shocks stemming from agents' maximization of random utility.
Kandori, Michihiro +2 more
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Random Noise Attenuation Based on Residual Convolutional Neural Network in Seismic Datasets
IEEE Access, 2020 Seismic random noise attenuation is a key step in seismic data processing. The random seismic data recorded by the detector tends to have strong noise, and this noisy seismic ratio can be seen as a low signal-to-noise ratio (SNR).
Liuqing Yang +4 more
semanticscholar +1 more source
White Noise Representation of Gaussian Random Fields [PDF]
, 2012 We obtain a representation theorem for Banach space valued Gaussian random variables as integrals against a white noise. As a corollary we obtain necessary and sufficient conditions for the existence of a white noise representation for a Gaussian random ...
Gelbaum, Zachary
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Anticipating Stochastic 2D Navier-Stokes Equations [PDF]
, 2011 In this article, we consider the two-dimensional stochastic Navier-Stokes equation (SNSE) on a smooth bounded domain, driven by affine-linear multiplicative white noise and with random initial conditions and Dirichlet boundary conditions.
Mohammed, Salah, Zhang, Tusheng
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ECG Signal De-noising and Baseline Wander Correction Based on CEEMDAN and Wavelet Threshold
Sensors, 2017 A novel electrocardiogram (ECG) signal de-noising and baseline wander correction method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and wavelet threshold is proposed.
Yang Xu +3 more
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