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   Articles with "random noise" as a keyword



Identifying initial condition of the Rayleigh‐Stokes problem with random noise

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recommendations! Published in 2019 at "Mathematical Methods in the Applied Sciences"

DOI: 10.1002/mma.5455

Abstract: We investigate a backward problem for the Rayleigh‐Stokes problem, which aims to determine the initial status of some physical field such as temperature for slow diffusion from its present measurement data. This problem is well‐known… read more here.

Keywords: problem; solution; random noise; rayleigh stokes ... See more keywords

Random noise attenuation using a structure-oriented adaptive singular value decomposition

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recommendations! Published in 2019 at "Acta Geophysica"

DOI: 10.1007/s11600-019-00301-6

Abstract: AbstractSingular value decomposition (SVD) is an efficient method to suppress random noise in seismic data. The performance of noise attenuation is typically affected by choosing the rank of the estimated signal using SVD. That the… read more here.

Keywords: random noise; noise attenuation; value; structure oriented ... See more keywords

The efficacy and safety of multiple sessions of multisite transcranial random noise stimulation in treating chronic tinnitus.

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recommendations! Published in 2018 at "Brazilian journal of otorhinolaryngology"

DOI: 10.1016/j.bjorl.2018.05.010

Abstract: INTRODUCTION Random noise stimulation was reported as the more effective and safer type of electrical stimulation techniques in relieving tinnitus symptoms. The multisite protocol of transcranial random noise stimulation has shown additional favorable effects. OBJECTIVE… read more here.

Keywords: transcranial random; stimulation; random noise; tinnitus ... See more keywords

Random noise attenuation by Wiener-ANFIS filtering

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recommendations! Published in 2018 at "Journal of Applied Geophysics"

DOI: 10.1016/j.jappgeo.2018.05.017

Abstract: Abstract This paper introduces a method for background random noise attenuation in seismic reflection data giving priority to the preservation of coherent seismic events and automation of the algorithm. Since the statistical characteristics of random… read more here.

Keywords: wiener; noise attenuation; random noise; input data ... See more keywords

Seismic random noise attenuation using nonlocal-means via smooth patch ordering

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recommendations! Published in 2019 at "Journal of Applied Geophysics"

DOI: 10.1016/j.jappgeo.2019.05.005

Abstract: Abstract In seismic exploration, suppressing random noise is a key step in improving the signal-to-noise ratio (SNR) of seismic data. The effective structures of seismic profiles can be characterized by the abundance of self-repeating patterns.… read more here.

Keywords: random noise; patch ordering; nonlocal means; smooth patch ... See more keywords

The effect of transcranial random noise stimulation (tRNS) over bilateral posterior parietal cortex on divergent and convergent thinking

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recommendations! Published in 2020 at "Scientific Reports"

DOI: 10.1038/s41598-020-72532-3

Abstract: Creativity pervades many areas of everyday life and is considered highly relevant in several human living domains. Previous literature suggests that the posterior parietal cortex (PPC) is related to creativity. However, none of previous studies… read more here.

Keywords: posterior parietal; parietal cortex; transcranial random; stimulation ... See more keywords

Effects on nonverbal numerical acuity performance after a single-session transient random noise stimulation over the intraparietal sulcus or dorsolateral prefrontal cortex

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-21890-x

Abstract: We investigated the effects of cognitive training with transcranial random noise stimulation (tRNS) applied to the intraparietal sulcus (IPS) or dorsolateral prefrontal cortex (DLPFC) on improving a multidirectional number line estimation task. We predicted that… read more here.

Keywords: random noise; single session; session; intraparietal sulcus ... See more keywords

Random noise promotes slow heterogeneous synaptic dynamics important for robust working memory computation

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recommendations! Published in 2025 at "Proceedings of the National Academy of Sciences of the United States of America"

DOI: 10.1073/pnas.2316745122

Abstract: Significance Our study addresses a fundamental challenge in the field of neural network modeling, offering critical insights into the training of recurrent neural networks (RNNs) that simulate cognitive processes. Specifically, we demonstrate that by introducing… read more here.

Keywords: memory; promotes slow; random noise; working memory ... See more keywords

Random noise suppression of seismic data by time–frequency peak filtering with variational mode decomposition

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recommendations! Published in 2019 at "Exploration Geophysics"

DOI: 10.1080/08123985.2019.1658521

Abstract: Random noise suppression is of great importance in seismic processing and interpretation, and time–frequency peak filtering (TFPF) is a classic denoising approach. In TFPF, pseudo Wigner–Ville distribution (PWVD) is used to linearise the given signal… read more here.

Keywords: noise; frequency; random noise; mode decomposition ... See more keywords

Seismic data random noise reduction using a method based on improved complementary ensemble EMD and adaptive interval threshold

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recommendations! Published in 2020 at "Exploration Geophysics"

DOI: 10.1080/08123985.2020.1777849

Abstract: Random noise attenuation is an important step in seismic signal processing. This paper develops a seismic denoising method which combines the improved complementary ensemble empirical mode decomposition (ICEEMD) and adaptive interval threshold. The seismic data… read more here.

Keywords: interval threshold; random noise; complementary ensemble; adaptive interval ... See more keywords

Identification of bi-harmonic periodic signal contaminated with Gaussian random noise by analysing high-order PDF moments

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recommendations! Published in 2024 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ad5c86

Abstract: When a periodic multi-harmonic signal is contaminated by a random noise, the identification of harmonic amplitudes can be performed from the autocorrelation function. However, the latter is not indicative of harmonic phases. Both the amplitudes… read more here.

Keywords: identification harmonic; random noise; signal; signal contaminated ... See more keywords