Results 31 to 40 of about 381,042 (274)
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
doaj +1 more source
The random component of mixer-based nonlinear vector network analyzer measurement uncertainty [PDF]
, 2007 The uncertainty, due to random noise, of the measurements made with a mixer-based nonlinear vector network analyzer are analyzed. An approximate covariance matrix corresponding to the measurements is derived that can be used for fitting models and ...
Scott, Jonathan B. +3 more
core +1 more source
Spatial Smoothing for Diffusion Tensor Imaging with low Signal to Noise Ratios [PDF]
, 2003 Though low signal to noise ratio (SNR) experiments in DTI give key information about tracking and anisotropy, e.g. by measurements with very small voxel sizes, due to the complicated impact of thermal noise such experiments are up to now seldom analysed.
Prigarin, Sergej M. +4 more
core +1 more source
Noise expresses exponential growth under regime switching [PDF]
, 2009 Consider a given system under regime switching whose solution grows at most polynomially, and suppose that the system is subject to environmental noise in some regimes. Can the regime switching and the environmental noise work together to make the system
University of Science and Technology, Beijing (Funder) +9 more
core +1 more source
3D Computation of Broadband Slat Noise from Swept and Unswept High-Lift Wing Sections [PDF]
, 2011 In previous work a RANS based simulation technique for the simulation of broadband slat noise was established. Good agreement was found between predicted and measured slat noise spectra.
Appel, Christina +11 more
core +1 more source
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
doaj +1 more source
Optimized mitigation of random-telegraph-noise dephasing by spectator-qubit sensing and control [PDF]
, 2023 Spectator qubits (SQs) are a tool to mitigate noise in hard-to-access data qubits. The SQ, designed to be much more sensitive to the noise, is measured frequently, and the accumulated results used rarely to correct the data qubits.
Song, Hongting +4 more
core +2 more sources
Application of a Discontinuous Galerkin Method to Predict Airframe Noise [PDF]
, 2009 Unstructured grids greatly ease the mesh generation process in the case of complex geometries. The Discontinuous Galerkin Method (DGM) provides a robust, high-order accurate discretization even on this type of grid.
Marcus Bauer +5 more
core +1 more source
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
doaj +1 more source
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
doaj +1 more source