Results 91 to 100 of about 2,665,090 (225)

Variance Thresholded EMD-CCA Technique for Fast Eye Blink Artifacts Removal in EEG

open access: yes, 2017
International audienceEye blink (EB) artifacts generated during eye blinks often contaminate electroencephalogram (EEG) signal. Previously Empirical Mode Decomposition (EMD) and Canonical Correlation Analysis (CCA), hybrid EMD-CCA were developed for EB ...
Stolz, Christophe   +5 more
core   +3 more sources

3dcon: tomogram denoising by deconvolution. [PDF]

open access: yesActa Crystallogr D Struct Biol
An open‐source entropy‐regularized deconvolution workflow is presented for denoising tomographic reconstructions from cryo‐electron microscopy.Cryo‐electron tomography is an expanding technology for the study of macromolecules, viruses and cells.
Kirchweger P   +3 more
europepmc   +2 more sources

Recent Trends in Inverse Rendering

open access: yesComputer Graphics Forum, EarlyView.
This survey reviews 84 papers published between 2020 and 2025 on inverse rendering methods, introducing a taxonomy based on input data, scene representations, optimization strategies, and evaluation methods. We analyze emerging trends in neural, differentiable, and Gaussian‐splatting approaches, discuss applications, and identify key challenges and ...
S. Ullah, F. Pellacini, A. Giachetti
wiley   +1 more source

EMD-seislet transform

open access: yes, 2018
The seislet transform uses a prediction operator that is connected to the local slope or frequency of seismic events. We have combined the 1D nonstationary seislet transform with empirical-mode decomposition (EMD) in the [Formula: see text]-[Formula ...
Yangkang Chen, Sergey Fomel
core   +1 more source

An Empirical Mode-Spatial Model for Environmental Data Imputation

open access: yesHydrology, 2018
Complete and accurate data are necessary for analyzing and understanding trends in time-series datasets; however, many of the available time-series datasets have gaps that affect the analysis, especially in the earth sciences. As most available data have
Benjamin Nelsen   +3 more
doaj   +1 more source

Chronic silencing of subsets of cortical layer 5 pyramidal neurons has a long‐term influence on the laminar distribution of parvalbumin interneurons and the perineuronal nets

open access: yesJournal of Anatomy, Volume 246, Issue 4, Page 479-504, April 2025.
Chronic silencing of subsets of layer 5 projection neurons has distinct effects on the laminar distribution of PV interneurons and the perineuronal nets in the adult primary motor and somatosensory cortex. Abstract Neural networks are established throughout cortical development, which require the right ratios of glutamatergic and GABAergic neurons ...
Florina P. Szabó   +4 more
wiley   +1 more source

Differential emd tracking

open access: yes, 2007
Illumination changes cause object appearance to change drastically and many existing tracking algorithms lack the capability to handle this problem.
Qi Zhao, Hai Tao, Shane Brennan
core   +1 more source

Regenerative periodontal surgery and orthodontic therapy in the treatment of patients with stage IV periodontitis and pathologic tooth migration

open access: yesPeriodontology 2000, EarlyView.
Abstract Background Patients suffering from stage IV periodontitis are often characterized by pathologic tooth migration, drifting, flaring, posterior bite collapse, and secondary occlusal trauma (case type 2). Many times, these patients seek treatment because of functional and esthetic demands.
Karin Jepsen   +3 more
wiley   +1 more source

Improve the Envelope of EMD with Piecewise Linear Fractal Interpolation

open access: yes, 2010
Empirical mode decomposition (EMD) has recently been pioneered by Huang et al. for adaptively representing non-stationary signals as sums of zero-mean amplitude modulation frequency modulation components.
Tian Sheng Hong   +3 more
core   +1 more source

Uniform Phase Empirical Mode Decomposition: An Optimal Hybridization of Masking Signal and Ensemble Approaches

open access: yesIEEE Access, 2018
The empirical mode decomposition (EMD) is an established method for the time-frequency analysis of nonlinear and nonstationary signals. However, one major drawback of the EMD is the mode mixing effect.
Yung-Hung Wang, Kun Hu, Men-Tzung Lo
doaj   +1 more source

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