Implementing specific required noise processing in emd active noise reduction algorithm
To solve complaints from customers about the noise inside the car,especially wind noise and road noise,Proposing an improved algorithm for Empirical Mode Decomposition(EMD),which mainly improves the selection of extremum points to obtain a more stable Intrinsic Mode Function(IMF).By comparing the fitting degree of the correlation coefficient between the decomposed IMF and pure wind noise,the wind noise in the mixed signal was reconstructed for active noise control,thereby achieving noise reduction for specific noise and preserving other useful sounds.This method could extract wind noise features with high accuracy,provide reference signals for wind noise control,and achieve effective noise reduction,thereby improving the comfort of passengers in the car,forming a brand effect of the car,and enhancing the competitiveness of the car in domestic and foreign markets.