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Multichannel filtered-inverse least mean square Algorithms - Development and analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationMachine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP
Number of pages6
Publication statusPublished - 2 Jan 2008
Event17th IEEE International Workshop on Machine Learning for Signal Processing - Thessaloniki, Greece
Duration: 27 Aug 200729 Aug 2007


Conference17th IEEE International Workshop on Machine Learning for Signal Processing
Abbreviated titleMLSP-2007

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