Paper Title
Implementation Of LMS Algorithm For Vehicle Exhaust Noise Reduction

Least mean square (LMS) algorithm is a type of adaptive filter used to depict a desired filter by finding the filter coefficients that relate to producing the least mean squares of the error signal. This is applied for Adaptive Noise Control (ANC) system for vehicle exhaust noise reduction. ANC is a method of reducing the unwanted noise by actively generating an anti-sound, cancelling out the noise. This provides a new structure for improving noise reduction. And, simulation results have proven the effectiveness of the proposed algorithm. Keywords: Least Mean Square (LMS), Active Noise Control (ANC).