DocumentCode
334753
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
Volume
1
fYear
1998
fDate
1-4 Nov. 1998
Firstpage
498
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-5148-7
Type
conf
DOI
10.1109/ACSSC.1998.750913
Filename
750913
Link To Document