Title :
A/spl mu/LMS adaptive filtering algorithms based on the MF-SF architecture
Author :
Shaoli, Kang ; Sidong, Zhang
Author_Institution :
Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
Abstract :
An adaptive noise canceller (ANC) with two adaptive filters (MF and SF) is built. Based on this architecture, we propose several algorithms called A/spl mu/LMS or modified A/spl mu/LMS. By using sinusoidal signals, the simulation results demonstrate that these new algorithms have good performance in noise cancellation. The main advantages of these proposed algorithms are that they have a high stability, a fast convergence rate and a computational efficiency.
Keywords :
adaptive filters; interference suppression; least mean squares methods; numerical stability; A/spl mu/LMS adaptive filtering algorithms; A/spl mu/LMS algorithms; MF filters; MF-SF architecture; SF filters; adaptive filtering algorithms; adaptive filters; adaptive noise canceller; computational efficiency; fast convergence rate; least mean squares; modified A/spl mu/LMS algorithms; noise cancellation; sinusoidal signals; stability; Adaptive filters; Algorithm design and analysis; Autocorrelation; Convergence; Filtering algorithms; Gradient methods; Iterative algorithms; Least squares approximation; Mean square error methods; Transversal filters;
Conference_Titel :
Communications, 1999. APCC/OECC '99. Fifth Asia-Pacific Conference on ... and Fourth Optoelectronics and Communications Conference
Conference_Location :
Beijing, China
Print_ISBN :
7-5635-0402-8
DOI :
10.1109/APCC.1999.820561
