Title :
Regularization parameter of normalized subband adaptive filter
Author :
Jae Jin Jeong ; Gyogwon Koo ; Seung Hun Kim ; Sang Woo Kim
Author_Institution :
Dept. of Electr. Eng., Pohang Univ. of Sci. & Technol. (POSTECH), Pohang, South Korea
Abstract :
The stability and performance of the normalized subband adaptive filter (NSAF) algorithm is influenced by the regularization parameter. However, in various noise environments, the regularization parameter is difficult to be determined. The basic idea of this paper is to eliminate the effects of the noise in filter estimation. Simulation results show the proposed method has valid results in various noise environment.
Keywords :
adaptive filters; NSAF algorithm; filter estimation; noise environment; normalized subband adaptive filter algorithm; regularization parameter; Adaptive filters; Convergence; Equations; Signal to noise ratio; Steady-state; Vectors; Adaptive filters; normalized subband adaptive filter; regularization parameter;
Conference_Titel :
Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
Conference_Location :
Istanbul
DOI :
10.1109/ISIE.2014.6864757
