Title :
Convergence of LMS adaptation algorithm for allpass equalizer
Author :
Oprisan, Paul ; Kolodziej, Wojtek
Author_Institution :
Dept. of Electr. & Comput. Eng., Oregon State Univ., Corvallis, OR, USA
Abstract :
An allpass filter is a lower power and complexity alternative to a FIR forward equalizer which is normally implemented with decision feedback equalization. Theoretical bases for analyzing the convergence properties of the second order allpass filter are presented. The sensitivity to the changes of external parameters is studied and convergence regions are derived.
Keywords :
all-pass filters; computational complexity; convergence of numerical methods; decision feedback equalisers; least mean squares methods; LMS adaptation algorithm; allpass equalizer; allpass filter; convergence properties; decision feedback equalization; second order allpass filter; Adaptive filters; Convergence; Crosstalk; Decision feedback equalizers; Finite impulse response filter; IIR filters; Least squares approximation; Magnetic noise; Magnetic recording; Magnetic separation;
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5148-7
DOI :
10.1109/ACSSC.1998.750913
