Title :
Border Effect Removal for IFIR and Interpolated Volterra Filters
Author :
Batista, Eduardo Luiz Ortiz ; Tobias, O.J. ; Seara, Rui
Author_Institution :
Dept. of Electr. Eng., Univ. Fed. de Santa Catarina, Florianopolis, Brazil
Abstract :
This paper presents a procedure to remove the border effect from interpolated finite impulse response (IFIR) and interpolated Volterra adaptive filters using the LMS algorithm. The used approach permits to reduce the steady-state mean-square error (MSE) of such structures. In situations that the border effect is important, the obtained improvement is noticeable. In addition, the computational burden required to implement such a procedure is slight. Simulation results confirm the effectiveness of the proposed approach.
Keywords :
FIR filters; adaptive filters; least mean squares methods; nonlinear filters; IFIR; LMS algorithm; border effect removal; interpolated Volterra adaptive filters; interpolated finite impulse response; steady-state mean-square error; Adaptive filters; Adaptive signal processing; Circuits; Computational modeling; Convolution; Finite impulse response filter; Interpolation; Least squares approximation; Signal processing algorithms; Steady-state; Adaptive filters; adaptive signal processing; interpolation; least-mean-square methods; nonlinear filters;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.367090
