Title :
Comparison of LMS, RLS and notch based adaptive algorithms for noise cancellation of a typical industrial workroom
Author :
Khan, Sanaullah ; Arif, M. ; Majeed, T.
Author_Institution :
Pakistan Inst. of Eng. & Appl. Sci., Islamabad, Pakistan
Abstract :
In work places, such as industrial workrooms, offices or vichels we often come into a situation, where we have to face problems with noise. This paper deals with a performance analysis of most important LMS, RLS and adaptive notch filter algorithms employed in active control of acoustical noise. The stress lays mainly on explanation of the methodology of each algorithm, and the comparison when applied to a random periodic noise. Simulations results presented show a fair comparison in noise estimation, error convergence and autocorrelations of these algorithms when applied to reduce noise levels in a typical industrial workroom.
Keywords :
acoustic noise; active noise control; adaptive filters; least mean squares methods; notch filters; acoustical noise active control; adaptive notch filter; autocorrelations; error convergence; industrial workroom; least mean square; noise cancellation; noise estimation; notch based adaptive algorithms; random periodic noise; Active noise reduction; Adaptive algorithm; Adaptive control; Adaptive filters; Least squares approximation; Noise cancellation; Noise level; Performance analysis; Programmable control; Resonance light scattering;
Conference_Titel :
Multitopic Conference, 2004. Proceedings of INMIC 2004. 8th International
Print_ISBN :
0-7803-8680-9
DOI :
10.1109/INMIC.2004.1492866