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Affichage des publications 1081 à 1090 sur 3861 au total

Signal and Image processing

Asymptotic Performance of Complex <inline-formula> <tex-math notation="LaTeX">$M$</tex-math> </inline-formula>-Estimators for Multivariate Location and Scatter Estimation

The joint estimation of means and scatter matrices is often a core problem in multivariate analysis. In order to overcome robustness issues, such as outliers from Gaussian assumption, M-estimators are now preferred to the traditional sample mean and…

Bruno Mériaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster

IEEE Signal Processing Letters -

Signal and Image processing

On the Recursions of Robust COMET Algorithm for Convexly Structured Shape Matrix

This paper addresses robust estimation of structured shape (normalized covariance) matrices. Shape matrices most often own a particular structure depending on the application of interest and taking this structure into account improves estimation…

B. Meriaux, C. Ren, A. Breloy, M.N. El Korso, Philippe Forster, J.-P. Ovarlez

2019 27th European Signal Processing Conference (EUSIPCO) -

Signal and Image processing

Modified Sparse Subspace Clustering for Radar Detection in Non-stationary Clutter

Detecting targets embedded in a noisy environment is an important topic in adaptive array processing. In the traditional statistical framework, this problem is addressed through a binary hypothesis test, which usually requires the estimation of side…

Bruno Mériaux, Arnaud Breloy, Mohammed Nabil El Korso, Philippe Forster

2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) -

Signal and Image processing

Robust estimation of structured scatter matrices in (mis)matched models

Covariance matrix estimation is a ubiquitous problem in signal processing. In most modern signal processing applications, data are generally modeled by non-Gaussian distributions with covariance matrices exhibiting a particular structure. Taking…

Bruno Mériaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster

Signal Processing -

Electric power

Modelling a redefined architecture for concentrated photovoltaic power plant

The whole research projects that concern the concentrated photovoitaic (CPV) are systematically about the yield improvement of the cell. The positioning of the work presented here is at the cell interconnections for achieving a stable DC bus to…

Thierry Talbert, F. Thiery, Dorian Gachon, Olivier Fruchier, T. Martire, Mickael Petit

2019 5th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) -

Electric power

Conception and command of a three phase series resonant converter under unbalanced condition

This paper deals with the design of a 3-phase, high frequency series resonant DC-DC converter. If the converter is perfectly balanced, the third harmonic and its multiples are canceled and the input and output current ripples are greatly reduced…

Benjamin Loyer, Mickael Petit, Eric Labouré

PCIM Europe 2019; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management -

Electric power

Traveling wave piezoelectric transformer for multi-level insulated gate-driver power supply

The traveling-wave piezoelectric transformer (TWPT) is a new topology of piezoelectric transformer providing a multi-phases system of voltages at its output. The inherent galvanic insulation of piezoelectric transformers makes them particularly…

Thomas Martinez, Denis Labrousse, Gaël Pillonnet, Dejan Vasic, François Costa

PCIM Europe 2019; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management -