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M. V. Johns Jr.

dblp:133/9141 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1960
—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 · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory › probability theory › stochastic processes › stochastic process representation
covariance function		 0.011960
Spectral analysis of a process of randomly delayed pulses · IRE Trans. Inf. Theory 1960
Information theory › probability theory › stochastic processes
spectral density		 0.011960
Spectral analysis of a process of randomly delayed pulses · IRE Trans. Inf. Theory 1960
Information theory › signal processing
spectral estimation		 0.011960
Spectral analysis of a process of randomly delayed pulses · IRE Trans. Inf. Theory 1960
Information theory › probability theory
stochastic processes		 0.011960
Spectral analysis of a process of randomly delayed pulses · IRE Trans. Inf. Theory 1960
YearPublicationVenuePosition
1960 Spectral analysis of a process of randomly delayed pulses
abstract
Formulas are obtained for the steady-state covariance function of a process of pulses separated by independent random time delays. The pulses considered may be either stochastic or deterministic in character. Since such processes approach stationarity in time their steady-state spectral density functions may be obtained. Explicit results are given for two examples.
M. V. Johns Jr.
 IRE Trans. Inf. Theory1