Title :
Adaptive noise cancelling based on independent component analysis
Author :
Park, Hyung-Min ; Oh, Sang-Hoon ; Lee, Soo-Young
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci., Taejon, South Korea
fDate :
7/18/2002 12:00:00 AM
Abstract :
A method for adaptive noise cancelling based on independent component analysis (ICA) is presented. Although the conventional least-mean-squares (LMS) algorithm removes noise components based on second-order correlation, the proposed algorithm can utilise higher-order statistics. Experimental results show that the proposed algorithm provides considerable performance improvement
Keywords :
adaptive signal processing; correlation methods; higher order statistics; least mean squares methods; noise; ICA; LMS algorithm; adaptive noise cancellation; higher order statistics; independent component analysis; learning rule; least-mean-squares algorithm; noise components; second-order correlation;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20020593
