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Timothy J. Lunn

dblp:26/2805 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1997
—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 · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › error-correcting codes › error probability analysis
bit-error probability
0.011997
Block-coded modulation optimized for finite error rate on the white Gaussian noise channel · IEEE Trans. Inf. Theory 1997
Coding theory › error-correcting codes › coded modulation
block-coded modulation
0.011997
Block-coded modulation optimized for finite error rate on the white Gaussian noise channel · IEEE Trans. Inf. Theory 1997
Coding theory
coding gain
0.011997
Block-coded modulation optimized for finite error rate on the white Gaussian noise channel · IEEE Trans. Inf. Theory 1997

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

design procedure · 0.0
YearPublicationVenuePosition
1997 Block-coded modulation optimized for finite error rate on the white Gaussian noise channel
abstract
This correspondence examines the performance of block-coded modulation (BCM) at finite decoded bit error rates (BER). We consider the optimum geometric structure to optimize coding gain at finite BER, rather than asymptotic coding gain. We introduce the concept of the "row BER" and show that this structure may be implemented by a BCM scheme in which the row bit-error rates are equalized. We present a design procedure for such schemes, and show that significant improvements over conventional schemes are possible.
Alister Burr, Timothy J. Lunn
IEEE Trans. Inf. Theory2