Results 51 to 60 of about 338,685 (349)

Sparse Reconstruction for Enhancement of the Empirical Mode Decomposition-Based Signal Denoising

IEEE Access, 2020
Effective signal denoising methods are essential for science and engineering. In general, denoising algorithms may be either linear or non-linear. Most of the linear ones are unable to remove the noise from the real-world measurements.
Krzysztof Brzostowski
doaj   +1 more source

Enhanced monopulse radar tracking using empirical mode decomposition [PDF]

, 2010
Monopulse radar processors are used to track targets that appear in the look direction beamwidth. The target tracking information (range, azimuth angle, and elevation angle) are affected when manmade high power interference (jamming) is introduced to the
Elgamel, Sherif A.E.H., Soraghan, J.J.
core  

Investigating properties of the cardiovascular system using innovative analysis algorithms based on ensemble empirical mode decomposition [PDF]

, 2012
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited - Copyright @ 2012 Jia-Rong Yeh et al ...
Abbod, MF, Chen, Y, Lin, TY, Shieh, JS, Sun, WZ, Yeh, JR   +5 more
core   +2 more sources

Hybrid Deep Learning Predictor for Smart Agriculture Sensing Based on Empirical Mode Decomposition and Gated Recurrent Unit Group Model

Italian National Conference on Sensors, 2020
Smart agricultural sensing has enabled great advantages in practical applications recently, making it one of the most important and valuable systems.
Xue-bo Jin, Nian-Xiang Yang, Xiaoyi Wang, Yuting Bai, Tingli Su, Jianlei Kong   +5 more
semanticscholar   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Signature extraction from the dynamic responses of a bridge subjected to a moving vehicle using complete ensemble empirical mode decomposition

Journal of Low Frequency Noise, Vibration and Active Control, 2021
Technology that measures bridge responses when a vehicle is crossing over it for structural health monitoring has been under development for approximately a decade.
Feng Xiao, Gang S Chen, Wael Zatar, J Leroy Hulsey   +3 more
doaj   +1 more source

Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting

Entropy, 2020
Epilepsy is a common nervous system disease that is characterized by recurrent seizures. An electroencephalogram (EEG) records neural activity, and it is commonly used for the diagnosis of epilepsy. To achieve accurate detection of epileptic seizures, an
Jiang Wu, Tengfei Zhou, Taiyong Li
semanticscholar   +1 more source

Sustainable Synthesis of Bio‐Based Magnetic and Conductive Wood for Electromagnetic Interference Shielding Applications

Advanced Engineering Materials, EarlyView.
A wood‐based magnetic and conductive material called Magwood (MW), capable of blocking almost 99.99% of electromagnetic waves (in the X‐band frequency range), is synthesized using a simple, solvent‐free process. MW is lightweight, resists water, and is flame‐retardant, making it a promising alternative for shielding electronics. The rapid proliferation
Akash Madhav Gondaliya, Majed Amini, Mohammad Arjmand, Earl Johan Foster   +3 more
wiley   +1 more source

Modified detrended fluctuation analysis based on empirical mode decomposition

, 2009
Detrended fluctuation analysis (DFA) is a simple but very efficient method for investigating the power-law long-term correlations of non-stationary time series, in which a detrending step is necessary to obtain the local fluctuations at different ...
Alessio, Alvarez-Ramirez, Arrault, Bashan, Carbone, Carbone, Chen, Chen, Chianca, Decoster, Du, Flandrin, Flandrin, Gao-Feng Gu, Gu, Gu, Gu, Halsey, Heneghan, Hu, Huang, Jiang, Jiang, Jiang, Jiang, Jánosi, Kantelhardt, Kantelhardt, Mandelbrot, Mantegna, Meneveau, Montanari, Norouzzadeh, Novikov, Peng, Podobnik, Podobnik, Podobnik, Schertzer, Schertzer, Simonsen, Talkner, Taqqu, Wang, Wei, Wei, Wei-Xing Zhou, Wu, Xi-Yuan Qian, Yeh, Yuan, Yuan, Zhou, Zhou   +53 more
core   +1 more source

A novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise, minimum mean square variance criterion and least mean square adaptive filter

, 2020
Underwater acoustic signal processing is one of the research hotspots in underwater acoustics. Noise reduction of underwater acoustic signals is the key to underwater acoustic signal processing.
Yuxing Li, Long Wang
semanticscholar   +1 more source