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The JADE algorithm (Cardoso and Souloumiac, 1993) is a popular batch-type algorithm for Blind Source Separation (BSS), which employs approximate joint diagonalization (AJD) of fourth-order cumulant matrices, following a whitening stage. In this paper we propose a computationally attractive optimization of JADE for noiseless mixtures, in the form of a post-processing tool. First, we cast the AJD of...