A new structure for adaptive IFIR filtering

Author

Resende, Leonardo S. ; Rocha, C.A.F. ; Bellanger, M.G.

Author_Institution

Dept. of Electr. Eng., Univ. Fed. de Santa Catarina, Florianopolis, Brazil

Volume

1

fYear

2000

fDate

2000

Firstpage

400

Abstract

A new structure for adaptive interpolated finite impulse response (AFIR) filtering is presented, in which the RLS algorithm can be directly applied for updating only the nonzero coefficients of the sparse filter. The approach is based on the linearly-constrained filter called the generalized sidelobe canceller. The performance of the RLS algorithm applied to the AIFIR filtering is illustrated by simulations and compared with that of the LMS algorithm

Keywords

adaptive filters; adaptive signal processing; filtering theory; interpolation; least squares approximations; LMS algorithm; RLS algorithm; adaptive IFIR filtering; generalized sidelobe canceller; interpolated finite impulse response filter; matrix; nonzero coefficients updating; performance; simulations; sparse filter; Adaptive filters; Art; Electronic mail; Filtering algorithms; Finite impulse response filter; Least squares approximation; Nonlinear filters; Resonance light scattering; Transversal filters; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.861990

Filename

861990