Demo Data from EDBT 2026 / reviewers in the wild / expert
Tsu W. Ku
dblp:99/5527
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1986
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory 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.
| Theoretical computer science
1 paper |
Coding theory · 87% Information theory · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › source coding › quantization › vector quantization
polar quantization |
0.0 | 1 | 1986 | Asymptotic performance of unrestricted polar quantizers · IEEE Trans. Inf. Theory 1986 |
Coding theory › source coding
quantization |
0.0 | 1 | 1986 | Asymptotic performance of unrestricted polar quantizers · IEEE Trans. Inf. Theory 1986 |
Methods — techniques the papers use, named apart from their topics
mean squared error analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1986 | Asymptotic performance of unrestricted polar quantizersabstractUnrestricted polar quantizers (UPQ's) were previously introduced to overcome the weak mean-squared error performance of polar coordinate quantizers for the independent bivariate Gaussian source when the number of levels was small (< 3bits /dimension). An asymptotic ntean-squared error analysis of the UPQ's with a general circularly symmetric source is presented. The performance of the UPQ's is shown to be asymptotically within0.17dB of that of the optimum bivariate quantizer. The results are extended to dimensions greater than two. Examples for the independent Gaussian source are included. Peter F. Swaszek, Tsu W. Ku |
IEEE Trans. Inf. Theory | 2 |