Title :
Using a frequency weighted error function to improve performance of adaptive filters
Author_Institution :
Dialogic Corp., Parsippany, NJ, USA
Abstract :
The authors presents an enhancement to the error measurement function of an adaptive process. This enhancement enables the error to be weighted differently in different parts of the spectrum. The result is used to produce an adaptive process that adapts better to a given system, over a selective range of frequencies. The equations for an adaptive FIR system are derived. Finally some simulation results using the suggested method with an LMS process, are given
Keywords :
FIR filters; adaptive filters; error analysis; frequency response; least mean squares methods; LMS process; adaptive filters; error measurement function; finite impulse response filter; frequency weighted error function; simulation; Adaptive filters; Adaptive systems; Colored noise; Equations; Finite impulse response filter; Frequency; Least squares approximation; System identification; Transfer functions; White noise;
Conference_Titel :
VLSI Signal Processing, VI, 1993., [Workshop on]
Conference_Location :
Veldhoven
Print_ISBN :
0-7803-0996-0
DOI :
10.1109/VLSISP.1993.404468
