Demo Data from VLDB 2026 / reviewers in the wild / expert
U. Cheng
dblp:119/4736
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1995
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › synchronization › timing recovery
data transition tracking loop |
0.0 | 1 | 1995 | The performance of the all-digital data transition tracking loop using nonlinear analysis · IEEE Trans. Commun. 1995 |
Physical-layer communications
synchronization |
0.0 | 1 | 1995 | The performance of the all-digital data transition tracking loop using nonlinear analysis · IEEE Trans. Commun. 1995 |
Physical-layer communications › synchronization
timing recovery |
0.0 | 1 | 1995 | The performance of the all-digital data transition tracking loop using nonlinear analysis · IEEE Trans. Commun. 1995 |
Physical-layer communications › synchronization
phase error analysis |
0.0 | 1 | 1995 | The performance of the all-digital data transition tracking loop using nonlinear analysis · IEEE Trans. Commun. 1995 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0nonlinear analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | The performance of the all-digital data transition tracking loop using nonlinear analysisabstractThis paper describes the performance of the all digital data transition tracking loop (DTTL) with coherent and noncoherent sampling using nonlinear theory. The effects of few samples per symbol and of non-commensurate sampling and symbol rates are addressed and analyzed for perfectly square pulses as well as filtered pulses. Their impact on the probability density and variance of the phase error are quantified through computer simulations. It is shown that the performance of the all-digital DTTL approaches its analog counterpart when the sampling and symbol rates are noncommensurate (i.e., the number of samples per symbol is irrational). The phase error variance for an even number of samples per symbol is also shown to degrade compared to an odd number of samples per symbol.> Alexander Mileant, Samson Million, Sami Hinedi, U. Cheng |
IEEE Trans. Commun. | 4 |