E. Lahalle

Compressed-sensing-based content-driven hierarchical reconstruction: Theory and application to C-arm cone-beam tomography.

Aymeric Reshef, Cyril Riddell, Nikos Paragios, 2015, Medical physics.

New Fast Algorithm for Simultaneous Identification and Optimal Reconstruction of Non Stationary AR Processes with Missing Observations

G. Fleury, E. Lahalle, R. Zgheib, 2006, 2006 IEEE 12th Digital Signal Processing Workshop & 4th IEEE Signal Processing Education Workshop.

Adaptive transmission for lossless image reconstruction

G. Fleury, E. Lahalle, R. Zgheib, 2009 .

CAR identification from nonuniformly sampled values using LMS

J. Oksman, E. Lahalle, D. Poulton, 2005, 48th Midwest Symposium on Circuits and Systems, 2005..

Continuous ARMA spectral estimation from irregularly sampled observations

G. Fleury, E. Lahalle, A. Rivoira, 2004, Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510).

Online Estimation of Time-Varying Volatility Using a Continuous-Discrete LMS Algorithm

Jacques Oksman, Hana Baili, Elisabeth Lahalle, 2008, EURASIP J. Adv. Signal Process..

Blade vibration study by spectral analysis of tip-timing signals with OMP algorithm

José Picheral, Gilles Chardon, Antoine Bouchain, 2019, Mechanical Systems and Signal Processing.

Compression methods for mechanical vibration signals: Application to the plane engines

Hani Hamdan, José Picheral, Marius Oltean, 2013 .

Vibration signals compression with Time-Frequency Adaptive Quantization

Hani Hamdan, Marius Oltean, Elisabeth Lahalle, 2011, 2011 IEEE 7th International Symposium on Intelligent Signal Processing.

Compressed sensing subtracted rotational angiography with multiple sparse penalty

Cyril Riddell, Nikos Paragios, Arthur Tenenhaus, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).