Demo Data from EDBT 2026 / reviewers in the wild / expert
Ami Weinstein
dblp:38/10490
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · none
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 |
Information theory · 93% Coding theory · 7% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › network information theory
broadcast channel |
0.1 | 1 | 2011 | Simultaneous Communication in Noisy Channels · IEEE Trans. Inf. Theory 2011 |
Information theory
channel capacity |
0.1 | 1 | 2011 | Simultaneous Communication in Noisy Channels · IEEE Trans. Inf. Theory 2011 |
Information theory › channel capacity
graph capacity |
0.1 | 1 | 2011 | Simultaneous Communication in Noisy Channels · IEEE Trans. Inf. Theory 2011 |
Information theory
network information theory |
0.1 | 1 | 2011 | Simultaneous Communication in Noisy Channels · IEEE Trans. Inf. Theory 2011 |
Coding theory
channel coding |
0.0 | 1 | 2011 | Simultaneous Communication in Noisy Channels · IEEE Trans. Inf. Theory 2011 |
Methods — techniques the papers use, named apart from their topics
encoding and decoding schemes · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Simultaneous Communication in Noisy ChannelsabstractA sender wishes to broadcast a message of length n over an alphabet to r users, where each user i, 1 ≤ i ≤ r, should be able to receive one m, possible messages. The broadcast channel has noise for each of the users (possibly different noise for different users), who cannot distinguish between some pairs of letters. The vector (m1, m2,...,mr)(n)is said to be feasible if length n encoding and decoding schemes exist enabling every user to decode his message. A rate vector (R1, R2...,Rr) is feasible if there exists a sequence of feasible vectors (m1, m2...,mr)(n)such that Ri= limn→∞Log2mi/n for all i. We determine the feasible rate vectors for several different scenarios and investigate some of their properties. An interesting case discussed is when one user can only distinguish between all the letters in a subset of the alphabet. Tight restrictions on the feasible rate vectors for some specific noise types for the other users are provided. The simplest nontrivial cases of two users and alphabet of size three are fully characterized. To this end a more general previously known result, to which we sketch an alternative proof, is used. This problem generalizes the study of the Shannon capacity of a graph, by considering more than a single user. Ami Weinstein |
IEEE Trans. Inf. Theory | 1 |