Simulation results illustrate the good practical performance of the proposed MM Memory Gradient (3MG) algorithm when applied to 2D filter identification.

Stochastic optimization plays an important role in solving many problems encountered in machine learning or adaptive processing.

Stochastic optimization plays an important role in solving many problems encountered in machine learning or adaptive processing.

Simulation results illustrate the good practical performance of the proposed MM Memory Gradient (3MG) algorithm when applied to 2D filter identification.

Simulation results illustrate the good practical performance of the proposed MM Memory Gradient (3MG) algorithm when applied to 2D filter identification.

Sep 10, 2014 · A Stochastic 3MG Algorithm with Application to 2D. Filter ... Application to 2D filter identification. Observation model y = S(h)x + w.

Emilie Chouzenoux, Jean-Christophe Pesquet, Anisia Florescu: A stochastic 3MG algorithm with application to 2D filter identification.

A stochastic 3MG algorithm with application to 2d filter identification · HAL CCSD · 01/09/2014 ; A Stochastic Majorize-Minimize Subspace Algorithm for Online ...

A stochastic 3MG algorithm with application to 2D filter identification. EUSIPCO 2014: 1587-1591. [c5]. view. electronic edition via DOI · unpaywalled version ...

A Stochastic 3MG Algorithm with Application to 2D Filter Identification. In Proceedings of the 22nd European Signal Processing Conference (EUSIPCO 2014) ...