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Volker Bach

dblp:39/2643 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · unresolved

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

TopicWeightPapersLastEvidence papers
Coding theory › source coding › quantization › quantization theory
high-resolution quantization
0.112009
Analysis of Optimal High Resolution and Fixed Rate Scalar Quantization · IEEE Trans. Inf. Theory 2009
Coding theory › source coding
quantization
0.112009
Analysis of Optimal High Resolution and Fixed Rate Scalar Quantization · IEEE Trans. Inf. Theory 2009
Coding theory › source coding › quantization
scalar quantization
0.112009
Analysis of Optimal High Resolution and Fixed Rate Scalar Quantization · IEEE Trans. Inf. Theory 2009

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

probability theory · 0.1asymptotic analysis · 0.1
YearPublicationVenuePosition
2009 Analysis of Optimal High Resolution and Fixed Rate Scalar Quantization
abstract
In 2001, Hui and Neuhoff proposed auniformquantizerwithoverloadfor the quantization of scalar signals and derived the asymptotically optimal size of the quantization bins in the high-bitrate limit. The purpose of the present paper is to prove a quantitatively more precise version of this result which, at the same time, is valid for a more general, quite natural class of probability distributions that requires only little regularity and includes, for instance, positive Lipschitz-continuous functions of unit integral.
Volker Bach, Ruedi Seiler
IEEE Trans. Inf. Theory1