Results 81 to 90 of about 5,348,114 (153)

Developing stage–discharge relationships using multivariate empirical mode decomposition-based hybrid modeling

Applied Water Science, 2018
This paper proposes an alternative method for modeling stage–discharge relationships by accounting significant information from different process scales employing the multivariate empirical mode decomposition (MEMD).
S. Adarsh, Ajin P. John, R. N. Anagha, Abi Abraham, M. P. Afiya, K. K. Arathi, Aaliya Azeem   +6 more
doaj   +1 more source

Linear Versus Nonlinear Methods for Detecting Magnetospheric and Ionospheric Current Systems Patterns

Earth and Space Science, 2020
There is a growing interest in the development of models and methods of analysis aimed to recognize in the geomagnetic field signals the different contributions coming from the various sources both internal and external to the Earth.
T. Alberti, F. Giannattasio, P. De Michelis, G. Consolini   +3 more
doaj   +1 more source

Using Empirical Mode Decomposition to Estimate Amplitudes in Noisy Data. [PDF]

Empirical Mode Decomposition, an adaptive data-driven technique which can be used to extract non-stationary signals buried in noise, seldom admits theoretical calculation of the statistical properties of the extracted signals.
Claire Blackman
core  

A Novel Fault Diagnosis Method Based on Noise-Assisted MEMD and Functional Neural Fuzzy Network for Rolling Element Bearings

IEEE Access, 2018
To solve the problem in which the auxiliary white-noise parameters need to be artificially selected in a noise-assisted multivariate empirical mode decomposition (NA-MEMD) and considering the fact that obtaining a large number of typical fault samples in
Sheng Liu, Yue Sun, Lanyong Zhang
doaj   +1 more source

Online Multivariate Empirical Mode Decomposition with FFT-Based Mode Split Resolution [PDF]

Multivariate Empirical Mode Decomposition (MEMD) har vist seg effektiv i tidsfrekvensanalyse for ikke-stasjonære ikke-lineære signaler. MEMD må behandle hele dataspennet for å generere signalets Intrinsic Mode Functions (IMF), noe som gjør den uegnet for
Lier, Joar Olai Lier
core  

Denoising of CT and MRI Images Using Decomposition-Based Curvelet Thresholding and Classical Filtering Techniques

Applied Sciences
Medical image denoising is crucial for enhancing the diagnostic accuracy of CT and MRI images. This paper presents a modular hybrid framework that combines multiscale decomposition techniques (Empirical Mode Decomposition, Variational Mode Decomposition,
Mahmoud Nasr, Krzysztof Brzostowski, Rafał Obuchowicz, Adam Piórkowski   +3 more
doaj   +1 more source

Estimation of Power System Inertia with the Integration of Converter-Interfaced Generation via MEMD during a Large Disturbance

Applied Sciences
The decrease in overall inertia in power systems due to the shift from synchronous generator production to renewable energy sources (RESs) presents a significant challenge.
Maja Muftić Dedović, Adnan Mujezinović, Nedis Dautbašić, Ajdin Alihodžić, Adin Memić, Samir Avdaković   +5 more
doaj   +1 more source

Advances and applications of empirical mode decomposition and its variants in hydrology: A review

Guan'gai paishui xuebao
Hydrological series are influenced by climate change, ecological succession, and human activities, containing complex, multi-layered, and interactive information that reflects highly non-linear and non-stationary characteristics.
CHEN Yunfei, LIU Zuyu, LIU Xiuhua, HE Junqi, ZHENG Ce, MA Yandong   +5 more
doaj   +1 more source

Multiclass classification of imagined speech EEG using noise-assisted multivariate empirical mode decomposition and multireceptive field convolutional neural network. [PDF]

Front Hum Neurosci, 2023
Park HJ, Lee B.
europepmc   +1 more source

Data-driven nonstationary signal decomposition approaches: a comparative analysis. [PDF]

Sci Rep, 2023
Eriksen T, Rehman NU.
europepmc   +1 more source