Title :
Adaptive IIR filtering employing subband decomposition
Author :
Yang, Yoon Gi ; Cho, Nam Ik ; Lee, Sang Uk
Author_Institution :
Sansung Electron. Co. Ltd., Seoul, South Korea
Abstract :
In this paper, a novel adaptive IIR filter employing subband decomposition is presented, To derive the subband IIR adaptive filter, the subband ARMA model is introduced. Then the subband IIR adaptive filter is proposed. The proposed subband IIR filter employs reduced order adaptive IIR filter in each subband, which can approximate high order adaptive ARMA system. The computer simulations reveal that the convergence performance of the proposed subband IIR filter outperforms the conventional parallel form adaptive IIR filter
Keywords :
IIR filters; adaptive filters; autoregressive moving average processes; digital filters; reduced order systems; adaptive IIR filtering; convergence performance; high order adaptive ARMA system; reduced order adaptive IIR filter; subband ARMA model; subband decomposition; Adaptive filters; Adaptive systems; Concurrent computing; Convergence; Filter bank; Filtering; IIR filters; Power system modeling; Stability; White noise;
Conference_Titel :
Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on
Conference_Location :
Rodos
Print_ISBN :
0-7803-3650-X
DOI :
10.1109/ICECS.1996.584516
