Results 51 to 60 of about 31,823 (308)
EMD-Based Filtering Using Similarity Measure Between Probability Density Functions of IMFs [PDF]
, 2014 This paper introduces a new signal-filtering which combines the empirical mode decomposition (EMD) and a similarity measure. A noisy signal is adaptively broken down into oscillatory components called intrinsic mode functions (IMFs) by EMD followed by an
DARE, Delphine +4 more
core +1 more source
Empirical Mode Decomposition Based Multi-Modal Activity Recognition
Sensors, 2020 This paper aims to develop an activity recognition algorithm to allow parents to monitor their children at home after school. A common method used to analyze electroencephalograms is to use infinite impulse response filters to decompose the ...
Lingyue Hu +4 more
doaj +1 more source
An improved genetic algorithm for optimizing ensemble empirical mode decomposition method
Systems Science & Control Engineering, 2019 This paper proposes an improved ensemble empirical mode decomposition method based on genetic algorithm to solve the mode mixing problem in empirical mode decomposition (EMD) algorithm as well as the parameters selection issue in ensemble empirical mode ...
Dabin Zhang +3 more
doaj +1 more source
WAVELET TRANSFORMS FOR EEG SIGNAL DENOISING AND DECOMPOSITION
International Journal of Advances in Signal and Image Sciences, 2023 EEG signal analysis is difficult because there are so many unwanted impulses from non-cerebral sources. Presently, methods for eliminating noise through selective frequency filtering are afflicted with a notable deprivation of EEG information. Therefore,
Ibtihal Hassan Elshekhidris +2 more
doaj +1 more source
An Alternative Formulation for the Empirical Mode Decomposition [PDF]
IEEE Transactions on Signal Processing, 2012 The Empirical Mode Decomposition (EMD) is a relatively new adaptive method for multicomponent signal representation which allows for analyzing nonlinear and nonstationary signals. In spite of its lack of mathematical foundations, very few papers are dedicated to defining new decompositions that would preserve the interesting properties of the EMD while
Thomas Oberlin +2 more
openaire +2 more sources
IEEE Photonics Journal, 2016 Low-coherence interferometry (LCI) has proved to be a useful tool in optical measurement and detection. However, the noise that is present in practical applications makes interference term retrieval (ITR) difficult.
Hongxia Zhang +4 more
doaj +1 more source
Codage des signaux par EMD [PDF]
, 2012 In this letter a new signals coding framework based on the Empirical Mode Decomposition (EMD) is introduced. The EMD breaks down any signal into a reduced number of oscillating components called Intrinsic Modes Decomposition (IMFs).
KHALDI, Kais +2 more
core +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
Multi Sensor Image Fusion using Empirical Mode Decomposition [PDF]
, 2013 Image fusion is a process of combining relevant information from two or more images from different sensors based on certain algorithm. Many algorithms have been proposed for pixel level image fusion.
Naidu, VPS, Shakthipriya, VS
core