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- Ali Komaty, Abdel-Ouahab Boudraa, Benoit Augier, Delphine Dare-Emzivat
- IEEE Trans. Instrumentation and Measurement
- 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 by EMD followed by an estimation of the probability density function (pdf) of each extracted mode. The key idea of this paper is to… (More)

- Ali Komaty, Abdel-Ouahab Boudraa, Delphine Dare-Emzivat
- 2012 IEEE International Symposium on Signal…
- 2012

This paper introduces a new signal-filtering method, which combines the empirical mode decomposition (EMD) and the Hausdorff distance (ℌD). A noisy signal is adaptively broken down into oscillatory components called intrinsic mode functions (IMFs) by EMD followed by an estimation of the probability density function (pdf) of each extracted mode. The… (More)

- Hadj Ahmed Bay Ahmed, Ali Komaty, Delphine Dare-Emzivat, Abdel-Ouahab Boudraa
- 2015 23rd European Signal Processing Conference…
- 2015

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… (More)

- Ali Komaty, Abdel-Ouahab Boudraa, John P. Nolan, Delphine Dare-Emzivat
- IEEE Signal Process. Lett.
- 2015

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