• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Institut de Recherche de l’École navale (IRENAV)
  • View Item
  • Home
  • Institut de Recherche de l’École navale (IRENAV)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

On signal denoising by EMD in the frequency domain

Communication avec acte
Author
BAY AHMED, Hadj Ahmed
13094 Institut de Recherche de l'Ecole Navale [IRENAV]
KOMATY, Ali
13094 Institut de Recherche de l'Ecole Navale [IRENAV]
DARE, Delphine
13094 Institut de Recherche de l'Ecole Navale [IRENAV]
BOUDRAA, Abdel-Ouahab
13094 Institut de Recherche de l'Ecole Navale [IRENAV]

URI
http://hdl.handle.net/10985/10293
Date
2015

Abstract

In this work a new denoising scheme based on the empirical mode decomposition associated with a frequency analysis is introduced. Compared to classical approaches where the extracted modes are thresholded in time domain, in the proposed strategy the thresholding is done in the frequency domain. Each mode is divided into blocks of equal length where the frequency content of each one is analyzed. Relevant modes are identified using an energy and a frequency thresholds obtained by training. The denoised signal is obtained by the superposition of the thresholded modes. The effectiveness of the proposed scheme is illustrated on synthetic and real signals and the results compared to those of methods reported recently.

Files in this item

Name:
1570105083.pdf
Size:
1.284Mb
Format:
PDF
View/Open

Collections

  • Institut de Recherche de l’École navale (IRENAV)

Related items

Showing items related by title, author, creator and subject.

  • Analyse de la vulnérabilité d’un réseau via la mesure de l’entropie de Von Neumann. 
    Communication avec acte
    BAY-AHMED, Hadj-Ahmed; DARÉ-EMZIVAT, Delphine; BOUDRAA, Abdel-Ouahab (GRETSI, 2019-09)
    In this work, we present a new strategy for measuring the vulnerability of network connections, modeled by a graph, via the variations of the Von Neumann entropy of the density matrix associated to this graph, this one ...
  • Débruitage fréquentiel de signaux par EMD 
    Communication avec acte
    KOMATY, Ali; DARE, Delphine; BOUDRAA, Abdel-Ouahab (2013)
    Dans cet article, nous proposons un nouveau schéma de débruitage des signaux basé sur la décomposition modale empirique associée à une analyse fréquentielle. Le principe de l’approche consiste à seuiller les modes extraits ...
  • On the behavior of EMD and MEMD in presence of symmetric alpha-stable noise 
    Article dans une revue avec comité de lecture
    KOMATY, Ali; BOUDRAA, Abdel-Ouahab; NOLAN, John; DARE, Delphine (Institute of Electrical and Electronics Engineers, 2015)
    EmpiricalMode Decomposition (EMD) and its extended versions such as Multivariate EMD (MEMD) are data-driven techniques that represent nonlinear and non-stationary data as a sum of a finite zero-mean AM-FM components referred ...
  • Estimation des paramètres d'un processus Symétrique Alpha Stable (S-alpha-Stable) à partir de ses modes empiriques 
    Communication avec acte
    KOMATY, Ali; BOUDRAA, Abdel-Ouahab; DARÉ-EMZIVAT, Delphine (2015)
    Dans ce travail nous nous intéressons au problème d’estimation des paramètres d’un processus alpha stable symétrique à partir de ses modes empiriques extraits par la décomposition modale empirique multivariée (MEMD). Nous ...
  • EMD-Based Filtering Using Similarity Measure Between Probability Density Functions of IMFs 
    Article dans une revue avec comité de lecture
    KOMATY, Ali; BOUDRAA, Abdel-Ouahab; AUGIER, Benoit; DARE, Delphine (Institute of Electrical and Electronics Engineers, 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 ...

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales