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Peter Vanroose

dblp:38/4043 · DBLP profile ↗
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6ranked-venue papers
2as first author
0since 2021 · last 2007
—ORCID · none

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

Theory of computation · 5 · 2 first-authorArtificial intelligence and machine learning · 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
5 papers
Information theory · 72% Coding theory · 25% Algorithms and data structures · 3%
Network and information security
1 paper
Cryptographic primitives and cryptanalysis · 100%

Topics — the 11 heaviest of 12, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory › network information theory
relay channel
0.122007
The Capacity of a Relay Channel, Both With and Without Delay · IEEE Trans. Inf. Theory 2007
Uniquely decodable codes for deterministic relay channels · IEEE Trans. Inf. Theory 1992
Information theory
channel capacity
0.022007
The Capacity of a Relay Channel, Both With and Without Delay · IEEE Trans. Inf. Theory 2007
How an Erdöos-Rényi-type search approach gives an explicit code construction of rate 1 for random access with multiplicity feedback · IEEE Trans. Inf. Theory 1997
Coding theory › error-correcting codes
code construction
0.031997
How an Erdöos-Rényi-type search approach gives an explicit code construction of rate 1 for random access with multiplicity feedback · IEEE Trans. Inf. Theory 1997
Uniquely decodable codes for deterministic relay channels · IEEE Trans. Inf. Theory 1992
Code construction for the noiseless binary switching multiple-access channel · IEEE Trans. Inf. Theory 1988
Coding theory › error-correcting codes
uniquely decodable codes
0.021992
Uniquely decodable codes for deterministic relay channels · IEEE Trans. Inf. Theory 1992
Code construction for the noiseless binary switching multiple-access channel · IEEE Trans. Inf. Theory 1988
Cryptographic primitives and cryptanalysis › message authentication codes
cartesian authentication codes
0.011994
On the construction of cartesian authentication codes over symplectic spaces · IEEE Trans. Inf. Theory 1994
Cryptographic primitives and cryptanalysis
message authentication codes
0.011994
On the construction of cartesian authentication codes over symplectic spaces · IEEE Trans. Inf. Theory 1994
Information theory › network information theory › relay channel
deterministic relay channel
0.011992
Uniquely decodable codes for deterministic relay channels · IEEE Trans. Inf. Theory 1992
Information theory › network information theory › multiuser capacity
multiple-access channel capacity
0.011988
Code construction for the noiseless binary switching multiple-access channel · IEEE Trans. Inf. Theory 1988
Information theory
network information theory
0.011988
Code construction for the noiseless binary switching multiple-access channel · IEEE Trans. Inf. Theory 1988
Information theory › channel capacity
zero-error capacity
0.021992
Uniquely decodable codes for deterministic relay channels · IEEE Trans. Inf. Theory 1992
Code construction for the noiseless binary switching multiple-access channel · IEEE Trans. Inf. Theory 1988
Coding theory › error-correcting codes
algebraic coding theory
0.011994
On the construction of cartesian authentication codes over symplectic spaces · IEEE Trans. Inf. Theory 1994

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

capacity upper bound analysis · 0.1symplectic space construction · 0.0probabilistic construction · 0.0derandomization · 0.0finite-state channel analysis · 0.0equivalence classification · 0.0second-order distance · 0.0linear code construction · 0.0convolutional codes · 0.0
YearPublicationVenuePosition
2007 The Capacity of a Relay Channel, Both With and Without Delay
abstract
In this correspondence, we point out the incorrectness of an upper bound in van der Meulen (Advances in Applied Probability, vol. 3, no. 1, pp. 120-154, 1971) and report the correct relay capacity for one of the examples given there. We also show that, when viewed as a relay-without-delay channel, the capacity of this channel is strictly larger than its classical relay capacity.
Edward C. van der Meulen, Peter Vanroose
IEEE Trans. Inf. Theory2
2004 Multimodal, Multilingual Resources in the Subtitling Process
Stelios Piperidis, Iason Demiros, Prokopis Prokopidis, Peter Vanroose, Anja Höthker, Walter Daelemans, Elsa Sklavounou, Manos Konstantinou, Yannis Karavidas
LREC4
1997 How an Erdöos-Rényi-type search approach gives an explicit code construction of rate 1 for random access with multiplicity feedback
abstract
Pippenger (1981) showed in a probabilistic way that the capacity of a collision channel with multiplicity feedback is one. In this correspondence, using an Erdos-Renyi type search strategy, we settle a long-standing open problem by giving a constructive proof of this result. Moreover, we prove that two different capacity definitions are equivalent, thereby solving a problem posed by Tsybakov (1985).
Miklós Ruszinkó, Peter Vanroose
IEEE Trans. Inf. Theory2
1994 On the construction of cartesian authentication codes over symplectic spaces
abstract
Various constructions of authentication codes using spaces related to the general linear group have been proposed and analyzed. In the paper the authors describe two new constructions of Cartesian authentication codes using symplectic spaces. This illustrates the feasibility of codes from spaces based on geometries of the other classical groups.>
Zhe-xian Wan, Ben J. M. Smeets, Peter Vanroose
IEEE Trans. Inf. Theory3
1992 Uniquely decodable codes for deterministic relay channels
abstract
The deterministic relay channel is analyzed and explicit code constructions for all binary and all ternary/binary channels are given. An explicit set of equivalence conditions is used to make a classification of all such relay channels, for which also the capacity is evaluated. The coding problem is then reduced to finding all possible output sequences of a certain finite-state channel determined by the relay coding strategy. The channel states correspond to the possible relay memory contents. For some relay channels capacity is reached by using simple uniquely decodable codes, thus establishing the zero-error capacity of those channels with finite-memory relay strategies. For other relay channels the relay memory must be arbitrarily large to achieve zero-error rates arbitrarily close to capacity. One such code construction is given. It is not known whether there exist relay channels for which the zero-error capacity is strictly smaller than the average-error capacity. The code construction problem for the semideterministic relay channel and for the nonsynchronized relay channel is briefly considered.>
Peter Vanroose, Edward C. van der Meulen
IEEE Trans. Inf. Theory1
1988 Code construction for the noiseless binary switching multiple-access channel
abstract
The noiseless coding problem is considered for a discrete memoryless multiple-access channel that is a counterpart to the well-known binary adder channel. Upper and lower bounds on the number of code words in a uniquely decodable code pair are given, from which the zero-error capacity region of the channel is derived. This region coincides with the classical capacity region of this channel. The proof uses the notion of second-order distance of a code. For several values of n and k, good code pairs of block length n are constructed, with the first code being (n,k)-linear. Some of these are found to be optimal. Some convolutional codes are investigated that yield additional good rate pairs.>
Peter Vanroose
IEEE Trans. Inf. Theory1