Results 121 to 130 of about 1,841,199 (345)

Robust mean shift filter for mixed Gaussian and impulsive noise reduction in color digital images. [PDF]

Sci Rep, 2022
Kusnik D, Smolka B.
europepmc   +1 more source

Recursive robust variable loading mvdr beamforming in impulsive noise environment

, 2008
This paper proposes a new recursive variable loading minimum variance distortionless response (RVL-MVDR) algorithm for robust beamforming in impulsive noise environment.
Zou, YX, Wan, Bo, Zou, Y.X., Wan, B, Zhao, Jing, Zhao, J, Chan, SC, Chan, S.C.   +7 more
core   +1 more source

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis, A. Carrassi, J. Brajard, L. Bertino, M. Broccoli, D. Iovino, T.S. Finn, M. Bocquet   +7 more
wiley   +1 more source

Multicarrier Downlink Transmission for High-speed Railway in Non-Gaussian Noise Channels

IEEE Access, 2018
We consider a wireless wideband downlink transmission for high-speed railway. In this scenario, the wireless channel is double selective, i.e., multipath and highly time-varying, and involves non-Gaussian noise at the receiver side. Conventional receiver
Qiwei Zheng, Fanggang Wang, Bo Ai, Zhangdui Zhong   +3 more
doaj   +1 more source

Reliable Intelligent Diagnostics With Uncertainty Quantification for Mechanical System Condition Assessment

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Health condition assessment of mechanical systems is essential to ensure their safe and reliable operation. Although AI‐driven diagnostic techniques have advanced significantly with the development of deep learning, the reliability of such techniques is often compromised due to the lack of uncertainty quantification (UQ)—particularly the ...
Guangjun Jiang, Haotian Ouyang, Zifei Xu
wiley   +1 more source

Matched Stochastic Resonance Enhanced Underwater Passive Sonar Detection under Non-Gaussian Impulsive Background Noise

Sensors
Remote passive sonar detection with low-frequency band spectral lines has attracted much attention, while complex low-frequency non-Gaussian impulsive noisy environments would strongly affect the detection performance.
Haitao Dong, Shilei Ma, Jian Suo, Zhigang Zhu   +3 more
doaj   +1 more source

Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise Using Blind Inpainting [PDF]

SIAM Journal on Imaging Sciences, 2013
18 pages, 4 ...
openaire   +2 more sources

Impulsive noise detection in OFDM systems with PAPR reduction

, 2014
Impulsive noise is a major source of degradation in industrial communications. Orthogonal frequency-division multiplexing (OFDM) is an extended technique used in many industrial communications, however the performance of OFDM systems is reduced under an ...
Jose Chilo, Simane, Ben,, Ferrer-Coll, Javier,, Chilo, José, Stenumgaard, Peter,, Stenumgaard, Peter, Slimane, Ben,, Chilo, José,, Ben Slimane, Javier Ferrer-Coll, Peter Stenumgaard   +10 more
core   +1 more source

Sliding Mode Control in Aerospace Applications: A Survey

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Sliding mode control (SMC) enjoys robustness to matched and unmatched (in the case of minimum phase input‐output dynamics) bounded perturbations, and finite time convergence. Second‐order and higher‐order sliding mode control systems (2‐SMC/HOSMC) retain all the advantages of sliding mode control, but in addition can be applied to systems of ...
Yuri Shtessel, Christopher Edwards
wiley   +1 more source

Is large improvement in efficiency of impulsive noise removal in color images still possible? [PDF]

PLoS One, 2021
Malinski L, Radlak K, Smolka B.
europepmc   +1 more source