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B. H. Bharucha

dblp:134/4373 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1970
—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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory › signal processing › signal representation
series representation
0.011970
On the representation of continuous parameter processes by a sequence of random variables · IEEE Trans. Inf. Theory 1970
Information theory › probability theory
stochastic processes
0.011970
On the representation of continuous parameter processes by a sequence of random variables · IEEE Trans. Inf. Theory 1970

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

l2 basis expansion · 0.0
YearPublicationVenuePosition
1970 On the representation of continuous parameter processes by a sequence of random variables
abstract
This paper examines the question of representing a continuous parameter random process\{ x_t, t \in T \}by a sequence of random variables "without loss of information." The principal result is that such a representation by expansion coefficients relative to a basis\{ \phi_i \}of\mathcal{L}_2(T)is always possible, regardless of the orthogonality of\{ \phi_i \}and of the boundedness of the time intervalT, provided only that the process is continuous in probability and almost every sample path has finite energy.
B. H. Bharucha, T. T. Kadota
IEEE Trans. Inf. Theory1