Results 271 to 280 of about 858,701 (293)

An Evaluation of Intrinsic Mode Function Characteristic of Non-Gaussian Autorregresive Processes

2021
Empirical mode decomposition (EMD) is a suitable transformation to analyse non-linear time series. This work presents a empirical study of intrinsic mode functions (IMFs) provided by the empirical mode decomposition. We simulate several non-gaussian autoregressive processes to characterize this decomposition. Firstly, we studied the probability density
Fernando E. Pose, Javier Zelechower, Marcelo R. Risk, Francisco Redelico   +3 more
openaire   +1 more source

Identification of significant intrinsic mode functions for the diagnosis of induction motor fault

The Journal of the Acoustical Society of America, 2014
For the analysis of non-stationary signals generated by a non-linear process like fault of an induction motor, empirical mode decomposition (EMD) is the best choice as it decomposes the signal into its natural oscillatory modes known as intrinsic mode functions (IMFs).
Sangjin, Cho, Md Rifat, Shahriar, Uipil, Chong   +2 more
openaire   +2 more sources

Characterization of Intrinsic Mode Functions of the Electrical Cochlear Response

2019
The aim of this paper was to characterize the Intrinsic Mode Functions (IMFs) of the Electrical Cochlear Response (ECR) obtained by Ensemble Empirical Mode Decomposition. Sample Entropy was used to identify the IMFs related to background noise, Cochlear Implant artefact, and ECR.
Norma Castañeda-Villa, Pilar Granados-Trejo, Juan Manuel Cornejo-Cruz   +2 more
openaire   +1 more source

A De-noising Scheme Based on the Null Hypothesis of Intrinsic Mode Functions

IEEE Signal Processing Letters, 2016
Empirical mode decomposition is a nonparametric adaptive tool that decomposes signals into a set of zero-mean modes called intrinsic mode functions (IMFs) that can be used to denoise a signal by selecting the relevant (noise-free) modes. In this paper, the statistical properties of IMFs, produced by a range of signal distributions, are examined ...
Mahdi H. Al-Badrawi, Bessam Z. Al-Jewad, Wayne J. Smith, Nicholas J. Kirsch   +3 more
openaire   +1 more source

Image Quality Assessment Based on Intrinsic Mode Function Coefficients Modeling

2011
Reduced reference image quality assessment (RRIQA) methods aim to assess the quality of a perceived image with only a reduced cue from its original version, called ”reference image”. The powerful advantage of RR methods is their ”General-purpose”. However, most introduced RR methods are built upon a non-adaptive transform models.
Abdelkaher Ait Abdelouahad, Mohammed El Hassouni, Hocine Cherifi, Driss Aboutajdine   +3 more
openaire   +1 more source

Analysis of Intrinsic Mode Functions Based on Curvature Motion-Like PDEs

2015
We provide here some contributions for both the comprehension and theoretical modeling of the well known Empirical Mode Decomposition (EMD) method in 2D. This is achieved by reconsidering the so-called local mean which is formulated now with the morphological median operator.
El-Hadji Samba Diop, Radjesvarane Alexandre   +1 more
openaire   +1 more source

Parkinson disease prediction using intrinsic mode function based features from speech signal

Biocybernetics and Biomedical Engineering, 2020
Biswajit Karan, Sitanshu Sekhar Sahu, Kartik Mahto   +2 more
exaly  

Different Scenarios on Denoising of Signals in the Intrinsic Mode Function Selection Framework

IETE Journal of Research, 2016
Mehmet Dogan Elbi
exaly  

Fault Diagnosis Using Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Power-Based Intrinsic Mode Function Selection Algorithm

Electronics (Switzerland), 2018
Sangjin Cho, Sang-Bock Cho
exaly  

An empirical re-sampling method on intrinsic mode function to deal with speed variation in machine fault diagnostics

Applied Soft Computing Journal, 2011
Kesheng Wang, P Stephan Heyns
exaly