Title :
New insights in adaptive cascaded FIR structure: Application to fully adaptive interpolated FIR structures
Author :
Batista, Eduardo L. O. ; Tobias, Orlando J. ; Seara, Rui
Author_Institution :
Dept. of Electr. Eng., Fed. Univ. of Santa Catarina, Florianópolis, Brazil
Abstract :
This paper presents the development of the least-mean-square (LMS) and normalized LMS (NLMS) algorithms for adapting cascaded FIR filters and the application of such algorithms to the whole adaptation of interpolated FIR filters. The obtained expressions are general and can be extended to any structure composed of the cascade of two FIR filters. The considered approach allows verifying the main characteristics of the adaptive process as well as the limitations of the existing adaptive interpolated FIR structures using adaptive interpolators. Numerical simulation results are presented aiming to confirm the effectiveness of the obtained advances.
Keywords :
FIR filters; adaptive filters; interpolation; least mean squares methods; NLMS algorithm; adaptive cascaded FIR structure; adaptive interpolated FIR structure; adaptive interpolators; cascaded FIR filters; interpolated FIR filters; least-mean-square algorithm; normalized LMS algorithm; Adaptive filters; Filtering algorithms; Filtering theory; Finite impulse response filters; Least squares approximations; Signal processing algorithms;
Conference_Titel :
Signal Processing Conference, 2007 15th European
Conference_Location :
Poznan
Print_ISBN :
978-839-2134-04-6