Title :
Steady state behavior of normalized frequency domain adaptive filter in noncausal circumstances
Author :
Jing Lu ; Haishan Zou
Author_Institution :
Inst. of Acoust., Nanjing Univ., Nanjing, China
Abstract :
Normalized frequency domain LMS algorithm is attractive due to its low computational burden and fast convergence speed. However, it suffers from the deteriorated steady-state behavior in noncausal circumstances, which is always inevitable in many application scenarios. In this paper, the influence of several factors on the steady state behavior of the normalized frequency domain LMS algorithm is investigated in a typical noncausal condition - a compact active noise control system. It is very interesting to find that the noise reduction performance is even worse with the increase of the control filter length.
Keywords :
adaptive filters; linear matrix inequalities; LMS algorithm; active noise control system; control filter length; noise reduction performance; noncausal circumstances; normalized frequency domain adaptive filter; steady state behavior; steady-state behavior; Adaptive filters; Feedforward neural networks; Filtering algorithms; Frequency-domain analysis; Noise; Steady-state; Wiener filters; Active noise control; Adaptive filters; Frequency domain implementation; Noncausal circumstances;
Conference_Titel :
TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-2825-5
DOI :
10.1109/TENCON.2013.6718929