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Wolfgang Kreitmeier

dblp:52/8397 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2012
—ORCID · none

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

Theory of computation · 2 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 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
2 papers
Coding theory · 85% Information theory · 15%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › source coding
quantization
0.322012
Entropy Density and Mismatch in High-Rate Scalar Quantization With Rényi Entropy Constraint · IEEE Trans. Inf. Theory 2012
High-Resolution Scalar Quantization With Rényi Entropy Constraint · IEEE Trans. Inf. Theory 2011
Coding theory › source coding
rate-distortion theory
0.322012
Entropy Density and Mismatch in High-Rate Scalar Quantization With Rényi Entropy Constraint · IEEE Trans. Inf. Theory 2012
High-Resolution Scalar Quantization With Rényi Entropy Constraint · IEEE Trans. Inf. Theory 2011
Coding theory › source coding › quantization
scalar quantization
0.322012
Entropy Density and Mismatch in High-Rate Scalar Quantization With Rényi Entropy Constraint · IEEE Trans. Inf. Theory 2012
High-Resolution Scalar Quantization With Rényi Entropy Constraint · IEEE Trans. Inf. Theory 2011
Information theory › information measures › entropy
entropy density
0.112012
Entropy Density and Mismatch in High-Rate Scalar Quantization With Rényi Entropy Constraint · IEEE Trans. Inf. Theory 2012

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

asymptotic analysis · 0.3point density · 0.1companding · 0.1
YearPublicationVenuePosition
2012 Entropy Density and Mismatch in High-Rate Scalar Quantization With Rényi Entropy Constraint
abstract
Properties of scalar quantization with th power distortion and constrained Rényi entropy of order are investigated. For an asymptotically (high-rate) optimal sequence of quantizers, the contribution to the Rényi entropy due to source values in a fixed interval is identified in terms of the “entropy density” of the quantizer sequence. This extends results related to the well-known point density concept in optimal fixed-rate quantization. A dual of the entropy density result quantifies the distortion contribution of a given interval to the overall distortion. The distortion loss resulting from a mismatch of source densities in the design of an asymptotically optimal sequence of quantizers is also determined. This extends Bucklew's fixed-rate and Gray et al.'s variable-rate mismatch results to general values of the entropy order parameter .
Wolfgang Kreitmeier, Tamás Linder
IEEE Trans. Inf. Theory1
2011 Scalar quantization with Rényi entropy constraint
abstract
We consider optimal scalar quantization with rth power distortion and constrained Rényi entropy of order α. For sources with absolutely continuous distributions the high rate asymptotics of the quantizer distortion has long been known for α = 0 (fixed-rate quantization) and α = 1 (entropy-constrained quantization). For a large class of absolutely continuous source distributions we determine the sharp asymptotics of the optimal quantization distortion for Rényi entropy constraints of order α ∈ [-∈, 0) ∪ (0; 1). The proof of achievability is based on companding quantization and is thus constructive.
Wolfgang Kreitmeier, Tamás Linder
ISIT1
2011 High-Resolution Scalar Quantization With Rényi Entropy Constraint
abstract
We consider optimal scalar quantization with rth power distortion and constrained Rényi entropy of order α. For sources with absolutely continuous distributions the high rate asymptotics of the quantizer distortion has long been known for α = 0 (fixed-rate quantization) and α = 1 (entropy-constrained quantization). These results have recently been extended to quantization with Rényi entropy constraint of order α ≥r+1. Here we consider the more challenging case α ∈ [-∞,0)∪(0,1) and for a large class of absolutely continuous source distributions we determine the sharp asymptotics of the optimal quantization distortion. The achievability proof is based on finding (asymptotically) optimal quantizers via the companding approach, and is thus constructive.
Wolfgang Kreitmeier, Tamás Linder
IEEE Trans. Inf. Theory1