Abstract:
A secondary path modeling technique for active noise control systems is developed for both on-line and off-line modeling with faster convergence and higher modeling accur...Show MoreMetadata
Abstract:
A secondary path modeling technique for active noise control systems is developed for both on-line and off-line modeling with faster convergence and higher modeling accuracy. The optimum delay for the adaptive prediction error filter to reduce the interference in system modeling is equal to the length of the impulse response of the secondary path being modeled.
Published in: IEEE Transactions on Speech and Audio Processing ( Volume: 5, Issue: 4, July 1997)
DOI: 10.1109/89.593319
Optimized secondary path modeling technique for active noise control systems
S.M. Kuo,D. Vijayan
A novel frequency domain filtered-X LMS algorithm for active noise reduction
T. Kosaka,S.J. Elliott,C.C. Boucher
A New Adaptive Filter for Estimating and Tracking the Delay and the Amplitude of a Sinusoid
Mrityunjoy Chakraborty
Consensus in Self-Similar Hierarchical Graphs and Sierpiński Graphs: Convergence Speed, Delay Robustness, and Coherence
Yi Qi,Zhongzhi Zhang,Yuhao Yi,Huan Li
Synchronous adaptive filters with delayed coefficient adaption
P. Darlington,S.J. Elliott
Analysis of adaptive filter algorithms in feedback systems
H. Sakai,S. Inoue
Delayed adaptive filtering based on NLMS algorithm with an error adjustment procedure
P. Somjai,P. Chumchu,T. Demeechai
A Congestion Control Approach Based on Predictive Model in Delay Network
Ping-ping Xiao,Yan-tao Tian
Active Noise Reduction of Amorphous Alloy Three-Dimensional Coiled Cores
Daosheng Liu,Longsheng Liu,Huanjing Qiu
Convergence analysis of multichannel ANC system using FXLMS algorithm with inexact secondary path model
Tak Keung Yeung,Sze Fong Yau
