Simulation for noise cancellation using LMS adaptive filter

[摘要] In this paper, the fundamental algorithm of noise cancellation, Least Mean Square (LMS) algorithm is studied and enhanced with adaptive filter. The simulation of the noise cancellation using LMS adaptive filter algorithm is developed. The noise corrupted speech signal and the engine noise signal are used as inputs for LMS adaptive filter algorithm. The filtered signal is compared to the original noise-free speech signal in order to highlight the level of attenuation of the noise signal. The result shows that the noise signal is successfully canceled by the developed adaptive filter. The difference of the noise-free speech signal and filtered signal are calculated and the outcome implies that the filtered signal is approaching the noise-free speech signal upon the adaptive filtering. The frequency range of the successfully canceled noise by the LMS adaptive filter algorithm is determined by performing Fast Fourier Transform (FFT) on the signals. The LMS adaptive filter algorithm shows significant noise cancellation at lower frequency range.

[发布机构] School of Mechanical Engineering, Universiti Sains Malaysia, Nibong Tebal, Pulau Pinang; 14300, Malaysia^1;Department of Mechanical Engineering, Faculty of Engineering and Built Environment, Tunku Abdul Rahman University College (TAR UC), Malaysia^2

[效力级别] 机械制造 [学科分类] 航空航天科学

[关键词] Filtered signals;Frequency ranges;Least mean square algorithms;LMS adaptive filters;Lower frequencies;Noise cancellation;Noise signals;Speech signals