A new structure for adaptive IFIR filtering
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 sidelob...
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| creator | Resende, L.S. Rocha, C.A.F. Bellanger, M.G. |
| description | 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. |
| doi_str_mv | 10.1109/ICASSP.2000.861990 |
| format | Conference Proceeding |
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| ispartof | 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2000, Vol.1, p.400-403 vol.1 |
| issn | 1520-6149 2379-190X |
| language | eng |
| recordid | cdi_ieee_primary_861990 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptive filters Electronic mail Filtering algorithms Finite impulse response filter Least squares approximation Nonlinear filters Resonance light scattering Transversal filters Vectors |
| title | A new structure for adaptive IFIR filtering |
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