Document Type
Thesis
Date of Award
Spring 1994
Degree Name
Master of Science in Electrical Engineering - (M.S.)
Department
Electrical and Computer Engineering
First Advisor
Yeheskel Bar-Ness
Second Advisor
Alexander Haimovich
Third Advisor
Zoran Siveski
Abstract
To increase the rate of convergence of the blind, adaptive, decision feedback equalizer based on the decorrelation criterion, structures have been proposed which dramatically increase the complexity of the equalizer. The complexity of an algorithm has a direct bearing on the cost of implementing the algorithm in either hardware or software. In this thesis, more computationally efficient structures, based on the fast transversal filter and lattice algorithms, are proposed for the decorrelation algorithm which maintain the high rate of convergence of the more complex algorithms. Furthermore, the performance of the decorrelation algorithm in a finite-precision environment will be studied and compared to the widely used LMS algorithm.
Recommended Citation
Bateman, Andrew James, "On issues of equalization with the decorrelation algorithm : fast converging structures and finite-precision" (1994). Theses. 1611.
https://digitalcommons.njit.edu/theses/1611
