Adaptive multichannel equalization applied to room acoustics exploiting the sparsity of target response

The adaptive multiple-input/output inverse theorem (A-MINT) multichannel equalization algorithm was proposed to address the computational complexity of the MINT algorithm. However, similar to MINT, A-MINT also assumes an arbitrary modeling delay for the target response which, if inappropriately chosen, results in misconvergence or poor performance. We present a new adaptive algorithm that exploits the sparsity of a target response to estimate equalization filters. The proposed algorithm automatically selects a suitable modeling delay for the equalized response so as to achieve a minimum-norm solution.