Multicomponent AM-FM signals analysis based on EMD-B-splines ESA
Analyse des signaux AM-FM basée sur une version B-splines de l'EMD-ESA
Article dans une revue avec comité de lecture
Date
2012Journal
Signal ProcessingRésumé
In this paper a signal analysis framework for estimating time-varying amplitude and frequency functions of multicomponent amplitude and frequency modulated (AM–FM) signals is introduced. This framework is based on local and non-linear approaches, namely Energy Separation Algorithm (ESA) and Empirical Mode Decomposition (EMD). Conjunction of Discrete ESA (DESA) and EMD is called EMD–DESA. A new modified version of EMD where smoothing instead of an interpolation to construct the upper and lower envelopes of the signal is introduced. Since extracted IMFs are represented in terms of B-spline (BS) expansions, a closed formula of ESA robust against noise is used. Instantaneous Frequency (IF) and Instantaneous Amplitude (IA) estimates of a multi- component AM–FM signal, corrupted with additive white Gaussian noise of varying SNRs, are analyzed and results compared to ESA, DESA and Hilbert transform-based algorithms. SNR and MSE are used as figures of merit. Regularized BS version of EMD– ESA performs reasonably better in separating IA and IF components compared to the other methods from low to high SNR. Overall, obtained results illustrate the effective- ness of the proposed approach in terms of accuracy and robustness against noise to track IF and IA features of a multicomponent AM–FM signal.
Fichier(s) constituant cette publication
- Nom:
- IRENav_Signal_Processing_2012_ ...
- Taille:
- 2.691Mo
- Format:
- Description:
- document article principal
Cette publication figure dans le(s) laboratoire(s) suivant(s)
Documents liés
Visualiser des documents liés par titre, auteur, créateur et sujet.
-
Article dans une revue avec comité de lectureBOUCHIKHI, Abdelkhalek; BOUDRAA, Abdel-Ouahab; CEXUS, Jean-Christophe; CHONAVEL, Thierry (Institute of Electrical and Electronics Engineers, 2014)A novel detection approach of linear FM (LFM) signals, with single or multiple components, in the time-frequency plane of Teager-Huang (TH) transform is presented. The detection scheme that combines TH transform and Hough ...
-
Article dans une revue avec comité de lectureKHALDI, Kais; BOUDRAA, Abdel-Ouahab (IET, 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 ...
-
Article dans une revue avec comité de lectureBOUFFAUT, Léa; DRÉO, Richard; LABAT, Valérie; BOUDRAA, Abdel-Ouahab; BARRUOL, Guilhem (Acoustical Society of America, 2018)As a first step to Antarctic blue whale (ABW) monitoring using passive acoustics, a method based on the stochastic matched filter (SMF) is proposed. Derived from the matched filter (MF), this filter-based denoising method ...
-
Antarctic Blue Whale Calls Detection Based on an Improved Version of the Stochastic Matched Filter Communication avec acteBOUFFAUT, Léa; DREO, Richard; LABAT, Valérie; BOUDRAA, Abdel-Ouahab; BARRUOL, Guilhem (2017)As a first step to Antarctic Blue Whale monitoring, a new method based on a passive application of the Stochastic Matched Filter (SMF) is developed. To perform Z-call detection in noisy environment, improvements on the ...
-
Communication avec acteDREO, Richard; BOUFFAUT, Léa; GUILLON, Laurent; LABAT, Valérie; BARRUOL, Guilhem; BOUDRAA, Abdel-Ouahab (2017)While visual survey of whales requires substantial means for limited areas, passive acoustic monitoring (PAM) offers larger scale coverage for long periods and less costs. It usually provides information about species ...