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Advanced Search Results For "RANDOM noise theory"

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 "RANDOM noise theory"
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Youla Parameterized Adaptive Feedback Attenuation Against Tonal and Band-Limited Random Noise in Ductworks.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Industrial Electronics. Aug2022, Vol. 69 Issue 8, p8274-8283. 10p.

Abstract: Unknown multiple tonal noise and band-limited random noise can be both generated in ductwork systems. This article has constructed a LQG controller with an augmented Youla (Q) parameterized adaptive regulation approach to minimize the residual error at...

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Label noise detection under the noise at random model with ensemble filters.

Publication Type: Academic Journal

Source(s): Intelligent Data Analysis. 2022, Vol. 26 Issue 5, p1119-1138. 20p.

Abstract: Label noise detection has been widely studied in Machine Learning because of its importance in improving training data quality. Satisfactory noise detection has been achieved by adopting ensembles of classifiers. In this approach, an instance is assign...

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Seismic Shot Gather Denoising by Using a Supervised-Deep-Learning Method with Weak Dependence on Real Noise Data: A Solution to the Lack of Real Noise Data.

Publication Type: Academic Journal

Source(s): Surveys in Geophysics. Oct2022, Vol. 43 Issue 5, p1363-1394. 32p.

Abstract: In recent years, supervised-deep-learning methods have shown some advantages over conventional methods in seismic data denoising, such as higher signal-to-noise ratio after denoising, complete separation of signals and noise in shared frequency bands a...

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Attention-Based Neural Network for Erratic Noise Attenuation From Seismic Data With a Shuffled Noise Training Data Generation Strategy.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Geoscience & Remote Sensing. Aug2022, Vol. 60, p1-16. 16p.

Abstract: The supervised neural network-based method provides an effective way for seismic data denoising. The noise level of seismic erratic noise, i.e., outlier, varies from traces, time windows, and shot gathers. The networks with popular structures may damag...

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Distributed Acoustic Sensing Vertical Seismic Profile Data Denoising Based on Multistage Denoising Network.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Geoscience & Remote Sensing. Aug2022, Vol. 60, p1-17. 17p.

Abstract: Distributed acoustic sensing (DAS) is a new exploration technology widely used to acquire vertical seismic profiles (VSPs). DAS can achieve low-cost and high-density observations, but the signal-to-noise ratio (SNR) of the VSP data collected by DAS is ...

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Bayesian robust tensor completion via CP decomposition.

Publication Type: Academic Journal

Source(s): Pattern Recognition Letters. Nov2022, Vol. 163, p121-128. 8p.

Abstract: • Tensor completion and denoising simultaneously. • A Mixture of Gaussian distribution for the complex noise. • A Bayesian framework together with a Gibbs sampling algorithm. • CP decomposition extract the low-rank structure of tensor. [Display omitted...

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Seismic Random Noise Attenuation Based on Non-IID Pixel-Wise Gaussian Noise Modeling.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Geoscience & Remote Sensing. Aug2022, Vol. 60, p1-16. 16p.

Abstract: Random noise attenuation (NA) is a key step in seismic field data processing. With the rise of artificial intelligence, deep learning (DL) algorithms are gradually introduced into seismic random noise suppression. The most commonly used DL paradigm tak...

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Error analysis of SISO and dual-branch communications with generalized Gaussian noise over FTR fading channels.

Publication Type: Academic Journal

Source(s): Turkish Journal of Electrical Engineering & Computer Sciences. 2022, Vol. 30 Issue 6, p2031-2043. 13p.

Authors:

Abstract: In this paper, we present error probability analysis for single-input single-output (SISO) and asymmetric dual-branch networks with additive white generalized Gaussian noise (AWGGN) over millimeter-wave (mmW) fluctuating two-ray (FTR) fading channels. ...

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Noisy Optimization by Evolution Strategies With Online Population Size Learning.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Systems, Man & Cybernetics. Systems. Sep2022, Vol. 52 Issue 9, p5816-5828. 13p.

Abstract: Optimization modeling of real-world application problems usually involves noise from various sources. Noisy optimization imposes challenges to optimization methods since the objective values can be different for multiple evaluations. In this article, w...

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Excitation Dynamics Among Impurity Doped Quantum Dot Eigenstates in a Polychromatic Field: Role of Gaussian White Noise.

Publication Type: Academic Journal

Source(s): ChemistrySelect. 10/7/2022, Vol. 7 Issue 37, p1-10. 10p.

Abstract: Current study focuses on realizing the role of Gaussian white noise (GWN) and external sinusoidal polychromatic radiation field (PRF) on the time‐average excitation rate (TAER) of impurity doped quantum dot (QD). The PRF induces the transfer of electro...

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