MATLAB Simulation Model for Active Noise Control

This is a MATLAB simulation model for active noise control employing the Least Mean Squares (LMS) filter. Active noise control represents a technology that reduces or eliminates noise through the use of sensors and feedback systems. The LMS filter serves as an adaptive filtering algorithm that automatically adjusts its filter coefficients based on the characteristics of input signals to minimize the error between desired and actual outputs. The simulation model includes implementations of key components such as: - Reference signal generation representing noise source - Error microphone signal processing - LMS algorithm implementation with adjustable step size parameter - Real-time coefficient adaptation mechanism - Performance analysis modules for noise cancellation evaluation This comprehensive simulation framework assists researchers and engineers in better understanding and exploring the applications and effectiveness of active noise control technology, providing practical insights into algorithm behavior under various operating conditions.