Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Dennis D. Cox

dblp:25/3625 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
0since 2021 · last 2004
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-authorTheory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › signal processing for communications › statistical signal processing › estimation theory
phase estimation
0.011980
Modulo-2 Pi phase sequence estimation (Corresp.) · IEEE Trans. Inf. Theory 1980
Physical-layer communications › synchronization › phase synchronization
phase tracking
0.011980
Modulo-2 Pi phase sequence estimation (Corresp.) · IEEE Trans. Inf. Theory 1980

Methods — techniques the papers use, named apart from their topics

random walk on circle · 0.0nonlinear filtering · 0.0
YearPublicationVenuePosition
2004 On the asymptotically stochastic computational modeling of microstructures
Dennis D. Cox, Petr Kloucek, Daniel R. Reynolds
Future Gener. Comput. Syst.1
1980 Modulo-2 Pi phase sequence estimation (Corresp.)
abstract
The probabilistic evolution of random walk on the circle is studied, and the results are used to derive a maximum {\em a posteriori} probability (MAP) sequence estimator for phase. The sequence estimator is a Viterbi tracker for tracking phase on a finite-dimensional grid in[-\pi,\pi). The algorithm is shown to provide a convenient method for obtaining fixed-lag phase estimates. Performance characteristics are presented and compared with several published nonlinear filtering algorithms.
Louis L. Scharf, Dennis D. Cox, C. Johan Masreliez
IEEE Trans. Inf. Theory2