Title :
Adaptive threshold nonlinear algorithm for adaptive filters with robustness against impulse noise
Author :
Koike, Shin´ichi
Author_Institution :
NEC Corp., Tokyo, Japan
fDate :
9/1/1997 12:00:00 AM
Abstract :
A new adaptation algorithm for adaptive filters is proposed, introducing “adaptive threshold” in the nonlinear correlation function. The adaptive threshold controlled by the long-term average of the error signal power makes the filtering system highly robust against impulse noise, which is demonstrated by the results of simulation and theoretical calculation
Keywords :
adaptive filters; correlation theory; noise; nonlinear filters; adaptation algorithm; adaptive filters; adaptive threshold nonlinear algorithm; error signal power; impulse noise; long-term average; nonlinear correlation function; robustness; Adaptive control; Adaptive filters; Additive noise; Convergence; Error correction; Finite impulse response filter; Noise robustness; Programmable control; Signal processing algorithms; Working environment noise;
Journal_Title :
Signal Processing, IEEE Transactions on
