DocumentCode :
353651
Title :
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
Link To Document :
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