Real-Time Active Noise Cancellation with Simulink and Data Acquisition Toolbox

This paper presents the feasibility of implementing single channel negative feedback Active Noise Cancellation technique using adaptive filters in Real-time environment[1]. In order to establish the suitability and credibility of LMS Algorithm for adaptive filtering in real world scenario, its efficiency was tested beyond system based ideal simulations. Within the MATLAB® software environment two different methods were used to perform Real-time ANC namely Simulink® and Data Acquisition ToolboxTM. Human voice is used as test signal. For processing and performing adaptive filtering, Block LMS Filter was utilised in Simulink and Error Normalised Step Size algorithm was used in between input and output of Signals by DAQ (Data Acquisition) toolbox interface. A general method of using DAQ commands has been employed which also allows for almost any kind of complex real-time audio processing and is quite easy to follow.