Results 21 to 30 of about 7,858,197 (288)
An Attention-Based Residual Neural Network for Efficient Noise Suppression in Signal Processing
The incorporation of effective denoising techniques is a crucial requirement for seismic data processing during the acquisition phase due to the inherent susceptibility of the seismic data acquisition process to various forms of interference, such as ...
Tianwei Lan +3 more
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Design and Analysis of a Magnetic Field Communication System Using a Giant Magneto-Impedance Sensor
Given the interest of researchers for wireless communications in electromagnetic (EM) shadow areas, a magnetic field communication has emerged to overcome RF challenges based on magnetic permeability characteristics. However, magnetic field communication
Seunghun Ryu +7 more
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Noise-stabilized random attractor [PDF]
A two dimensional flow model is introduced with deterministic behavior consisting of bursts which become successively larger, with longer interburst time intervals between them. The system is symmetric in one variable x and there are bursts on either side of x = 0, separated by the presence of an invariant manifold at x = 0.
Finn, J. M. +3 more
openaire +3 more sources
The noise attenuation of seismic data is an indispensable part of seismic data processing, directly impacting the following inversion and imaging. This paper focuses on two bottlenecks in the AI-based denoising method of seismic data: the destruction of ...
Wenda Li, Tianqi Wu, Hong Liu
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Human walking exhibits properties of global stability, and local dynamic variability, predictability, and complexity. Global stability is typically assessed by quantifying the whole-body center-of-mass motion while local dynamic variability ...
Fabien Buisseret +6 more
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Global Dynamics of a Stochastic Viral Infection Model with Latently Infected Cells
In this paper, we study the global dynamics of a stochastic viral infection model with humoral immunity and Holling type II response functions. The existence and uniqueness of non-negative global solutions are derived.
Chinnathambi Rajivganthi +1 more
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Introduction to Random Signals and Noise [PDF]
Random signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish between useful signals in audio, video or communication equipment, and interference, which disturbs the desired ...
Etten, Wim van
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An anti‐vibration‐shock inertial matching measurement method for hull deformation
In order to establish a unified spatial reference for the whole ship, inertial matching measurement of hull deformation is widely used because of its continuity and concealment.
Dongsheng Xu +4 more
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An improved distributed optimized random differential privacy algorithm
For the distributed optimization privacy protection problem in multi-agent systems, each agent uses the information of its neighbors to minimize the sum of the objective functions of all agents. The goal is to protect the objective function of each agent
TAO Meng CAO Jinde
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DEMVSNet: Denoising and depth inference for unstructured multi‐view stereo on noised images
Most deep‐learning‐based multi‐view stereo series studies are concerned with improving the depth prediction accuracy of noise‐free images. However, it is difficult to obtain off‐the‐set clean images in practice and 3D convolutional neural networks ...
Jiawei Han +4 more
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