A new approach to subband adaptive filtering

Author

Sandeep Pradham, S. ; Reddy, V.U.

Author_Institution

Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA

Volume

47

Issue

3

fYear

1999

fDate

3/1/1999 12:00:00 AM

Firstpage

655

Lastpage

664

Abstract

Subband adaptive filtering has attracted much attention lately. In this paper, we propose a new structure and a new formulation for adapting the filter coefficients. This structure is based on polyphase decomposition of the filter to be adapted and is independent of the type of filter banks used in the subband decomposition. The new formulation yields improved convergence rate when the LMS algorithm is used for coefficient adaptation. As we increase the number of bands in the filter, the convergence rate increases and approaches the rate that can be obtained with a flat input spectrum. The computational complexity of the proposed scheme is nearly the same as that of the fullband approach. Simulation results are included to demonstrate the efficacy of the new approach

Keywords

adaptive filters; adaptive signal processing; channel bank filters; computational complexity; convergence of numerical methods; echo suppression; filtering theory; least mean squares methods; noise; telephony; LMS algorithm; acoustic echo canceler; additive noise; computational complexity; convergence rate; filter banks; filter coefficient adaptation; flat input spectrum; polyphase decomposition; simulation results; subband adaptive filtering; subband decomposition; telephone communications; Adaptive estimation; Adaptive filters; Computational complexity; Computational modeling; Convergence; Echo cancellers; Filter bank; Filtering; Least squares approximation; Telephony;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.747773

Filename

747773