| Gearbox fault diagnosis using ensemble empirical mode decomposition (EEMD) and residual signal H Mahgoun, RE Bekka, A Felkaoui Mechanics & Industry 13 (1), 33-44, 2012 | 48 | 2012 |
| Multiple description wavelet-based image coding using correlating transforms K Khelil, REH Bekka, A Djebari, JM Rouvaen Int. J. Electron. Commun. (AEÜ) 61, 411 – 417, 2007 | 29 | 2007 |
| Empirical Mode Decomposition Based Denoising by Customized Thresholding W Mohguen, RE Bekka International Journal of Electrical, Computer, Energetic, Electronic and …, 2017 | 26* | 2017 |
| Improved multiple description wavelet based image coding using subband uniform quantization K Khelil, A Hussain, RE Bekka, F Berrezzeka International Journal of Electronics and Communications (AEÜ) 65, 967– 974, 2011 | 19 | 2011 |
| Assessment of the non-Gaussianity and non-linearity levels of simulated sEMG signals on stationary segments N Messaoudi, RE Bekka, P Ravier, R Harba Journal of Electromyography and Kinesiology 32, Journal of Electromyography …, 2017 | 16 | 2017 |
| Comparative Study of ECG Signal Denoising by Empirical Mode Decomposition and Thresholding Functions W Mohguen, RE Bekka 2019 6th International Conference on Electrical and Electronics Engineering …, 2019 | 15 | 2019 |
| Effect of the window length on the EMG spectral estimation through the Blackman-Tukey method RE Bekka, D Chikouche Seventh International Symposium on Signal Processing and Its Applications …, 2003 | 15 | 2003 |
| Improvement of ensemble empirical mode decomposition by over-sampling RE Bekka, Y Berrouche Advances in Adaptive Data Analysis 5 (03), 1350012, 2013 | 13 | 2013 |
| Improved multiple description wavelet based image coding using Hadamard Transform Y Berrouche, RE Bekka AEU-International Journal of Electronics and Communications 68 (10), 976-982, 2014 | 11 | 2014 |
| New Denoising Method Based on Empirical Mode Decomposition and Improved Thresholding Function W Mohguen, RE Bekka Journal of Physics: Conf. Series 787, 1-6, 2017 | 9 | 2017 |
| New Denoising Method Based on Empirical Mode Decomposition and Improved Thresholding Function W Mohguen, RE Bekka International Conference on Communication, Image and Signal Processing …, 2016 | 9 | 2016 |
| From single fiber action potential to surface electromyographic signal: a simulation study N Messaoudi, RE Bekka Bioinformatics and Biomedical Engineering: Third International Conference …, 2015 | 9 | 2015 |
| Diagnosis of gear systems by spectral analysis of vibration signals using synchronous cepstre technique N Haloui, D Chikouche, M Benidir, RE Bekka ESTS International Transactions on Communication and Signal Processing 8 (1 …, 2006 | 9 | 2006 |
| Fuzzy MUAP recognition in HSR-EMG detection basing on morphological features K Mebarkia, RE Bekka, A Reffad, C Disselhorst-Klug Journal of Electromyography and Kinesiology 24, 473–487, 2014 | 8 | 2014 |
| The use of a neural network system in the identification of motor unit characteristics from surface detected action potentials: a simulation study RE Bekka, S Boudaoud, D Chikouche Journal of neuroscience methods 116 (1), 89-98, 2002 | 8 | 2002 |
| Gearbox fault detection using a new denoising method based on ensemble empirical mode decomposition and FFT H Mahgoun, RE Bekka, A Felkaoui 4th International conference on integrity, reliability and failure (IRF2013 …, 2013 | 6 | 2013 |
| Classification of the Systems Used in Surface Electromyographic Signal Detection according to the Degree of Isotropy N Messaoudi, RE Bekka, S Belkacem Advanced Biomedical Engineering 7, 107-116, 2018 | 5 | 2018 |
| A new method for automatic defects detection and diagnosis in rolling element bearings using Wald-test A Chiter, R Zegadi, RE Bekka, A Felkaoui Journal of Theoretical and Applied Mechanics 56 (1), 123-135, 2018 | 5 | 2018 |
| Cross-Correlation Coefficient as a Means for Estimating the Effect of MVC level According to the Fibres Inclination N MESSAOUDI, RE BEKKA, S BELKACEM Electrical Engineering - Boumerdes (ICEE-B), 2017 5th International …, 2017 | 5 | 2017 |
| Efficient parameterization of MUAP signal for identification of MU and volume conductor characteristics using neural networks A Reffad, RE Bekka, K Mebarkia, D Chikouche Journal of neuroscience methods 164 (2), 325-338, 2007 | 5 | 2007 |
