Demo Data from EDBT 2026 / reviewers in the wild / expert
Martin Schetzen
dblp:134/0772
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 1967
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2 · 2 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.
| Computer networks
1 paper |
Physical-layer communications · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
nonlinear systems |
0.0 | 1 | 1965 | Determination of optimum nonlinear systems for generalized error criteria based on the use of gate functions · IEEE Trans. Inf. Theory 1965 |
Methods — techniques the papers use, named apart from their topics
orthogonal expansion · 0.0error criteria optimization · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1967 | Review of 'Non-Linear Transformations of Stochastic Processes' (Kuznetsov, P. I., et al, Eds.; 1965)
Martin Schetzen |
IEEE Trans. Inf. Theory | 1 |
| 1965 | Determination of optimum nonlinear systems for generalized error criteria based on the use of gate functionsabstractA generalization of the error criteria in the analysis of optimum nonlinear systems is presented. The experimental and analytical techniques presented are based upon the expansion of the nonlinear system in the orthogonal set of gate functions that were introduced into the study of nonlinear systems by Bose in 1955. It is shown that, for various error criteria, the coefficients in the expansion can be determined independently of each other. By making use of this result, methods are developed for the determination of nonlinear systems with and without memory, for which an arbitrary weighted function of the error or the probability of an arbitrary function of the error is a minimum. Martin Schetzen |
IEEE Trans. Inf. Theory | 1 |