Implementation of the Feedforward Multichannel Virtual Sensing Active Noise Control (MVANC) by Using MATLAB

TL;DR

This paper provides a MATLAB implementation of the multichannel virtual sensing active noise control (MVANC) method, enabling wide-area noise reduction at virtual positions using the MCFxLMS algorithm, with open-source code available.

Contribution

It introduces an open-source MATLAB code for MVANC using MCFxLMS, applicable to systems with any number of channels.

Findings

Open-source MATLAB code for MVANC available on GitHub

Applicable to systems with any number of channels

Facilitates wide-area noise control at virtual positions

Abstract

The multichannel virtual sensing active noise control (MVANC) methodology is an advanced approach that may provide a wide area of silence at specific virtual positions that are distant from the physical error microphones. Currently, there is a scarcity of open-source programs available for the MVANC algorithm. This work presents a MATLAB code for the MVANC approach, utilizing the multichannel filtered-x least mean square (MCFxLMS) algorithm. The code is designed to be applicable to systems with any number of channels. The code can be found on GitHub.