Blind preprocessing method for multichannel feedforward active noise control

Multichannel Adaptive Least Squares Lattice Filters for Active Noise Control

In this paper a new algorithm for multi-channel adaptive least squares adaptive filtering, using a lattice filter is proposed. The algorithm is a multi-channel numerically stable version of the adaptive least squares lattice with a priori errors and error feedback. It is adapted to active noise control using the modified filtered-Error algorithm. It is shown throw computer simulations that the ...

Simplified Plant Estimation for Multichannel Active Noise Control

This paper describes novel plant identification and adaptive noise control algorithms that exploit a specific spatio-temporal structure of the multichannel secondary propagation path in simple acoustic environments. A gradient-based plant identification method is proposed that significantly reduces the number of parameters within the secondary path model. We then propose a hybrid adjoint/filter...

A Two-Stage Adaptive Algorithm in the Frequency Domain for a Multichannel Feedforward Active Noise Control System

The reference paths between original sources and reference sensors in multichannel feedforward active noise control (ANC) systems are often ignored by most ANC algorithms. Therefore, a two-stage adaptive algorithm in the frequency domain is proposed to deal with several of the more complicated cases, specifically addressing instances when the reference sensors must be placed far away from the n...

New multichannel modified filtered-x algorithms for active noise control using the dichotomous coordinate descent method

The Convergence Analysis of Feedforward Active Noise Control System

Most active noise control (ANC) systems [1-3] are based on feedforward structure with adaptive filters, which are updated with the filtered-x LMS algorithm [4, 5] or the multiple error filtered-x (MEFX) LMS algorithm [6, 7]. The convergence characteristics of these algorithms have been studied mostly in the time domain, and it was found that the convergence characteristics were subject to eigen...