By Topic

Stochastic gradient minimum-BER decision feedback equalisers

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
B. Mulgrew ; Dept. of Electron. & Electr. Eng., Edinburgh Univ., UK ; S. Chen

The problem of constructing adaptive minimum bit error rate (MBER) decision feedback equalisers (DFEs) for binary signaling is considered. Gradient algorithms are developed for both conventional and state (or space) translation forms of the DFE. Kernel density estimation is demonstrated to provide a convenient mechanism for approximating the BER as a smooth function of the available data. This leads to the development of a number of adaptive algorithms. Computer simulation is used to assess the performance of these algorithms

Published in:

Adaptive Systems for Signal Processing, Communications, and Control Symposium 2000. AS-SPCC. The IEEE 2000

Date of Conference: