Demo Data from EDBT 2026 / reviewers in the wild / expert
Paolo Soardo
dblp:10/7842
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1967
—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 |
Information theory · 100% | |
| Computer networks
1 paper |
Physical-layer communications · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › probability theory
stochastic processes |
0.0 | 1 | 1967 | Line spectrum of series of time-correlated pulses having random shape and amplitude · IEEE Trans. Inf. Theory 1967 |
Physical-layer communications › modulation
pulse modulation |
0.0 | 1 | 1967 | Line spectrum of series of time-correlated pulses having random shape and amplitude · IEEE Trans. Inf. Theory 1967 |
Physical-layer communications
signal processing for communications |
0.0 | 1 | 1967 | Line spectrum of series of time-correlated pulses having random shape and amplitude · IEEE Trans. Inf. Theory 1967 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1967 | Line spectrum of series of time-correlated pulses having random shape and amplitudeabstractThe most general case is examined of series of pulses having a line spectrum besides a continuous one, characterized by the following conditions. \begin{enumerate} \item Pulses are distributed in time according to an arbitrary distribution functionP(x), xbeing the time interval between two consecutive pulses. \item The time intervalsxrelative to different pairs of pulses are uncorrelated. \item Pulse shape is random and no correlation exists between shapes of different pulses. However, an arbitrary correlation can exist between a pulse amplitude and the time interval separating this pulse from the preceding one. \end{enumerate} It is shown that under these conditions a line component can be present only in the spectrum of series of pulses whose distribution functionP(x)has the form:P(x) = \sum_{m} b_{m} \cdot \delta (x-x_{m}). A simple expression giving the intensity of the lines is derived by means of an integration method in the complex plane, which can be applied to similar calculations in more general cases. As an application it is shown that the power spectrum of series of pulses which have a distribution functionP(x)of the said form, and are moreover characterized by a random pulse position modulation, can be easily obtained from the derived general results. Piero Mazzetti, Paolo Soardo |
IEEE Trans. Inf. Theory | 2 |