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Michael Rudko

dblp:46/10845 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1979
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 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.

Theoretical computer science
2 papers
Information theory · 72% Mathematical optimization · 21% Coding theory · 7%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory › probability theory
stochastic processes		 0.011979
Addendum to "Volterra Systems with Random Inputs: A Formalized Approach" · IEEE Trans. Commun. 1979
Information theory
nonlinear system analysis		 0.011978
Volterra Systems with Random Inputs: A Formalized Approach · IEEE Trans. Commun. 1978
Information theory
signal processing		 0.011978
Volterra Systems with Random Inputs: A Formalized Approach · IEEE Trans. Commun. 1978
Mathematical optimization
stochastic systems		 0.011978
Volterra Systems with Random Inputs: A Formalized Approach · IEEE Trans. Commun. 1978
Coding theory › sequences › pseudorandom sequences
cross correlation		 0.011979
Addendum to "Volterra Systems with Random Inputs: A Formalized Approach" · IEEE Trans. Commun. 1979
Information theory › probability theory › stochastic processes
gaussian processes		 0.011979
Addendum to "Volterra Systems with Random Inputs: A Formalized Approach" · IEEE Trans. Commun. 1979

Methods — techniques the papers use, named apart from their topics

volterra series · 0.0spectral analysis · 0.0formalized approach · 0.0
YearPublicationVenuePosition
1979 Addendum to "Volterra Systems with Random Inputs: A Formalized Approach"
abstract
A newly derived expression for the higher order crosscorrelation function of two jointly stationary Gaussian random processes is used to determine the output autocorrelation function of a Volterra system driven by a Gaussian input and to simplify a previously published expression for the output power spectral density and its derivation.
Michael Rudko, Donald Weiner
 IEEE Trans. Commun.1
1978 Volterra Systems with Random Inputs: A Formalized Approach
abstract
The object of this work is to investigate the problem of Volterra systems driven by random inputs. General expressions for the second-order output statistics of a Volterra system are obtained and formalized. The input-output crosscorrelation and output autocorrelation functions are expressed in terms of higher order input autocorrelation functions. In the frequency domain, the cross-power and output power spectral densities are expressed in terms of higher order input power spectral densities. These expressions are used to obtain closed-form equations for the cross-power and output power spectral densities of a Volterra system driven by a real, stationary, zero-mean Gaussian input.
Michael Rudko, Donald Weiner
 IEEE Trans. Commun.1