Demo Data from EDBT 2026 / reviewers in the wild / expert
Roger L. Peterson
dblp:05/10572
· DBLP profile ↗
3ranked-venue papers
3as first author
0since 2021 · last 1980
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 3 · 3 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
3 papers |
Coding theory · 75% Information theory · 25% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › network information theory
multiple-access channel |
0.0 | 3 | 1980 | Error probability and free distance bounds for two-user tree codes on multiple-access channels · IEEE Trans. Inf. Theory 1980 Binary convolutional codes for a multiple-access channel (Corresp.) · IEEE Trans. Inf. Theory 1979 Tree, Trellis, and Convolutional Coding for Multiple-Access Channels (Ph.D. Thesis abstr.) · IEEE Trans. Inf. Theory 1979 |
Coding theory › error-correcting codes › decoding › decoding algorithms › optimal decoding
maximum-likelihood decoding |
0.0 | 2 | 1980 | Error probability and free distance bounds for two-user tree codes on multiple-access channels · IEEE Trans. Inf. Theory 1980 Binary convolutional codes for a multiple-access channel (Corresp.) · IEEE Trans. Inf. Theory 1979 |
Coding theory › interactive communication
tree codes |
0.0 | 2 | 1980 | Error probability and free distance bounds for two-user tree codes on multiple-access channels · IEEE Trans. Inf. Theory 1980 Tree, Trellis, and Convolutional Coding for Multiple-Access Channels (Ph.D. Thesis abstr.) · IEEE Trans. Inf. Theory 1979 |
Coding theory › error-correcting codes
convolutional codes |
0.0 | 2 | 1979 | Binary convolutional codes for a multiple-access channel (Corresp.) · IEEE Trans. Inf. Theory 1979 Tree, Trellis, and Convolutional Coding for Multiple-Access Channels (Ph.D. Thesis abstr.) · IEEE Trans. Inf. Theory 1979 |
Coding theory › channel coding
error probability bounds |
0.0 | 1 | 1980 | Error probability and free distance bounds for two-user tree codes on multiple-access channels · IEEE Trans. Inf. Theory 1980 |
Coding theory › error-correcting codes › convolutional codes › free distance
free distance bounds |
0.0 | 1 | 1980 | Error probability and free distance bounds for two-user tree codes on multiple-access channels · IEEE Trans. Inf. Theory 1980 |
Coding theory › error-correcting codes › convolutional codes
free distance |
0.0 | 1 | 1979 | Binary convolutional codes for a multiple-access channel (Corresp.) · IEEE Trans. Inf. Theory 1979 |
Methods — techniques the papers use, named apart from their topics
union bound · 0.0error exponent analysis · 0.0trellis decoding · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1980 | Error probability and free distance bounds for two-user tree codes on multiple-access channelsabstractTwo-user tree codes are considered for use on an arbitrary two-user discrete memoryless multiple-access channel (MAC). A two-user tree Is employed to achieve true maximum likelihood (ML) decoding of two-user tree codes on MAC's. Each decoding error event has associated with it a configuration indicating the specific time slots in which a decoding error has occurred for the first user alone, for the second user alone, or for both users simultaneously. Even though there are many possible configurations, it is shown that there are five fundamental configuration types. An upper bound on decoding error probability, similar to Liao's result for two-user block codes, is derived for sets of error events having a particular configuration. The total ML decoding error probability is bounded using a union bound first over all configurations of a given type and then over the five configuration types. A two-user tree coding error exponent is defined and compared with the corresponding block coding result for a specific MAC. It is seen that the tree coding error exponent is larger than the block coding error exponent at all rate pairs within the two-user capacity region. Finally, a new lower bound on free distance for two-user codes is derived using the same general technique used to bound the error probability. Roger L. Peterson, Daniel J. Costello Jr. |
IEEE Trans. Inf. Theory | 1 |
| 1979 | Tree, Trellis, and Convolutional Coding for Multiple-Access Channels (Ph.D. Thesis abstr.)
Roger L. Peterson |
IEEE Trans. Inf. Theory | 1 |
| 1979 | Binary convolutional codes for a multiple-access channel (Corresp.)abstractBinary convolutional (linear) code pairs are investigated for use on the two-user adder channel. Maximum likelihood decoding is discussed, and a two-user decoding trellis is defined. The L-free distance of a convolutional code pair is defined and shown to be equal to the free distance of the mod-2 sum of the two single-user codes. It follows that the code pair is uniquely decodable if and only if the mod-2 sum code has an inverse, and that the code pair is subject to catastrophic error propagation if and only if the mod-2 sum code is catastrophic. These results also imply that no uniquely decodable binary convolutional (linear) code pairs exist with a rate sum above time sharing. Roger L. Peterson, Daniel J. Costello Jr. |
IEEE Trans. Inf. Theory | 1 |