A subband adaptive filter with two types of analysis filter bank

Author

Ochi, Hiroshi ; Higa, Yoshito ; Kinjo, Shigenori

Author_Institution

Dept. of Inf. Eng., Ryukyus Univ., Okinawa, Japan

Volume

2

fYear

1994

fDate

31 Oct-2 Nov 1994

Firstpage

1511

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 analyses filter bank. 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; digital filters; filtering theory; least mean squares methods; LMSE minimisation; adaptive digital filters; adaptive signal processing; analysis filter bank; least mean squared error; optimum filter bank design; subband adaptive filter; Acoustic signal processing; Adaptive filters; Adaptive signal processing; Cost function; Degradation; Filter bank; Finite impulse response filter; Information analysis; Noise cancellation; Signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-6405-3

Type

conf

DOI

10.1109/ACSSC.1994.471710

Filename

471710