By Topic

Pseudo-maximum likelihood data estimation of digital sequences in the presence of intersymbol interference

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
$31 $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)
Sadjadpour, H.R. ; Commun. Sci. Inst., Univ. of Southern California, Los Angeles, CA, USA ; Weber, C.L.

A pseudo-maximum likelihood data estimation (PML) algorithm for discrete channels with finite memory in additive white Gaussian noise is developed. Unlike the traditional methods which utilize the Viterbi algorithm (VA) for data sequence estimation, the PML algorithm offers an alternative solution to the problem which is much easier to implement. There is a tradeoff in the PML algorithm between computational complexity and performance. The performance of PML is compared with the optimum receiver (VA with known channel)

Published in:

Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on  (Volume:2 )

Date of Conference:

31 Oct-2 Nov 1994