Title :
A subband adaptive filter with the optimum analysis filter bank
Author :
Ochi, Hiroshi ; Higa, Yoshito ; Kinjo, Shigenori
Author_Institution :
Dept. of Inf. Eng., Ryukyus Univ., Okinawa, Japan
Abstract :
Conventional subband ADFs (adaptive digital filters) using filter banks have shown degradation in performance because of the non-ideal nature of filters. For this problem, we propose a new type of subband ADF incorporating two types of analysis filter bank. In this paper, we show that we can design the optimum filter bank which minimizes the LMSE (least mean squared error). In other words, we can design a subband ADF with less MSE than that of conventional subband ADFs
Keywords :
adaptive filters; adaptive signal processing; band-pass filters; filtering theory; least mean squares methods; LMSE minimisation; analysis filter bank; least mean squared error; optimum analysis filter bank; optimum filter bank design; performance; subband adaptive filter; Adaptive filters; Adaptive signal processing; Cost function; Degradation; Digital filters; Filter bank; Finite impulse response filter; Information analysis; Information filtering; Information filters;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480343