Demo Data from EDBT 2026 / reviewers in the wild / expert
Stuart P. Lloyd
dblp:95/3514
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1982
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 first-author
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 · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › source coding
quantization |
0.0 | 1 | 1982 | Least squares quantization in PCM · IEEE Trans. Inf. Theory 1982 |
Coding theory › source coding
pulse-code modulation |
0.0 | 1 | 1982 | Least squares quantization in PCM · IEEE Trans. Inf. Theory 1982 |
Coding theory
source coding |
0.0 | 1 | 1982 | Least squares quantization in PCM · IEEE Trans. Inf. Theory 1982 |
Methods — techniques the papers use, named apart from their topics
probability density analysis · 0.0least-squares optimization · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1982 | Least squares quantization in PCMabstractIt has long been realized that in pulse-code modulation (PCM), with a given ensemble of signals to handle, the quantum values should be spaced more closely in the voltage regions where the signal amplitude is more likely to fall. It has been shown by Panter and Dite that, in the limit as the number of quanta becomes infinite, the asymptotic fractional density of quanta per unit voltage should vary as the one-third power of the probability density per unit voltage of signal amplitudes. In this paper the corresponding result for any finite number of quanta is derived; that is, necessary conditions are found that the quanta and associated quantization intervals of an optimum finite quantization scheme must satisfy. The optimization criterion used is that the average quantization noise power be a minimum. It is shown that the result obtained here goes over into the Panter and Dite result as the number of quanta become large. The optimum quautization schemes for2^{b}quanta,b=1,2, \cdots, 7, are given numerically for Gaussian and for Laplacian distribution of signal amplitudes. Stuart P. Lloyd |
IEEE Trans. Inf. Theory | 1 |