This paper describes the algorithms for multichannel active noise control systems based on adaptive filteredinverse least-mean-square algorithm (FILMS). General mathematical model of multichannel FILMS (MFILMS) algorithm is developed based on the cross-cancelling structure of the inverse plant used in the algorithm and the update equations for this setup are derived. This approach is robust but its computational load grows rapidly with the number of implemented channels. Methods to develop more efficient realizations using partial updates of the adaptive Alters in the system and suppression of the cross-cancellation effects in the inverse plant are described and analyzed in this paper. Simulations are performed to demonstrate the effectiveness of each method and computational loadings are estimated for each derived version of multichannel algorithm.
|Title of host publication||Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP|
|Number of pages||6|
|Publication status||Published - 2 Jan 2008|
|Event||17th IEEE International Workshop on Machine Learning for Signal Processing - Thessaloniki, Greece|
Duration: 27 Aug 2007 → 29 Aug 2007
|Conference||17th IEEE International Workshop on Machine Learning for Signal Processing|
|Period||27/08/07 → 29/08/07|