http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Sequence estimation in the presence of interference via the expectation-maximization algorithm
(EM) algorithm. We assume binary phase shift
and amplitude. We compare the algorithm with the
communication using the Expectation-Maximization
filter as a notch filter. Finally we present
for single tone interference with both random phase
function of sequence length. We investigate the
In this thesis, we developed a method for obtaining
interference for direct sequence spread spectrum
interference. The algorithm developed here is shown
keying (BPSK) signaling in the presence of additive
near-optimal sequence estimates in the presence of
simulation results and draw conclusions.
suboptimal approach of using a digital transversal
system performance in terms of bit error rate (BER)
to have a complexity that grows linearly as a
white Gaussian noise (AWGN) and single tone
"Major subject: Electrical Emgineering".
Issued also on microfiche from Lange Micrographics.
Includes bibliographical references: pages 47-49.