A. Benallal

Improvement of the tracking capability of the numerically stable fast RLS algorithms for adaptive filtering

A. Benallal, A. Gilloire, 1989, International Conference on Acoustics, Speech, and Signal Processing,.

Modélisation de la trempe à l'huile de disques de turboréacteurs en superalliage base nickel

A. Benallal, F. Devy, A. Boucherit, 1990 .

A new method to stabilize fast RLS algorithms based on a first-order of the propagation of numerical errors

A. Benallal, A. Gilloire, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

Real-time vocal tract modelling

K. Benkrid, A. Benkrid, A. Benallal, 2007 .

Improvement of the tracking ability of the Newton type adaptive filtering algorithm

D. Berkani, M. Bouchard, A. Benallal, 2004, First International Symposium on Control, Communications and Signal Processing, 2004..

An accelerated fast Newton algorithm for the identification of time-varying systems with noisy outputs - application to acoustic echo cancellation

D. Berkani, A. Benallal, M. Djendi, 2003, Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795).

Advanced Methods for Numerically Stable Fast Recursive Least Squares (NS-FRLS) Algorithms in Adaptive Filtering

Madjid Arezki, A. Benallal, Farid Ykhlef, 2005 .

Performance study of three different sparse adaptive filtering algorithms for echo cancellation in long acoustic impulse responses

A. Benallal, A. Tedjani, A. Benallal, 2017, 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B).

RESIDUAL STRESS MODELLING DURING THE OIL QUENCHING OF AN ASTROLOY TURBINE DISK.

Y. Honnorat, A. Benallal, P. E. Mosser, 1992 .

A New Algorithm with Low Complexity for Adaptive Filtering

P. Meyrueis, D. Berkani, A. Benallal, 2010 .

A fast convergence normalized least‐mean‐square type algorithm for adaptive filtering

Madjid Arezki, A. Benallal, A. Benallal, 2014 .