Convex combination filtered-X algorithms for active noise control systems

Adaptive filtering schemes exhibit a compromise between convergence speed and steady-state mean square error. Trying to overcome this trade-off, convex combination of adaptive filters have been recently developed for system identification achieving better performance than traditional approaches. The purpose of this work is to apply the convex combination strategy to single-channel and multichannel active noise control systems. In these systems it is necessary to take into account the secondary path between the adaptive filter output and the error sensor and the possible unavailability of the disturbance signal, which depends on the filtering scheme considered. Even though this strategy involves a higher computational burden than the classic adaptive filters, it exhibits a good performance in terms of convergence speed and steady-state mean square error.This work was supported in part by the Spanish Ministerio de Ciencia e Innovacion TEC2009-13741, Generalitat Valenciana PROMETEO 2009/0013, Generalitat Valenciana GV/2010/027, and Universitat Politecnica de Valencia PAID-06-09. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Boaz Rafaely.Ferrer Contreras, M.; Gonzalez, A.; Diego Antón, MD.; Piñero Sipán, MG. (2013). Convex combination filtered-X algorithms for active noise control systems. IEEE Transactions on Audio, Speech and Language Processing. 21(1):154-165. https://doi.org/10.1109/TASL.2012.2215595S15416521

IEEE Transactions on Audio, Speech and Language Processing : Vol. 21, No. 1 - 2, January - February 2013

Loudspeaker and Microphone Array Signal Processing Robust Adaptive beamformer for Speech Enhancement Using the Second-Order Extended H Filter - J. -S. Hu, M. -T. Lee, and C. -H. Yang Active Noise Control Convex Combination Filtered-X Algorithms for Active Noise Control Systems - M. Ferrer, A. Gonzalez, M. de Diego, and G. Pinero Source Separation and Signal Enhancement Informed Audio Source Separation Using Linearly Constrained Spatial Filters - S. Gorlow and S. Marchand REpeating Pattern Extraction Technique (REPET) : A Simple Method for Music/ Voice Separation - Z. Rafii and B. Pardo Informed Source Separation Using Iterative Reconstruction - N. Strurmel and L. Daude