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Tom Stephen Pitcher

dblp:133/7879 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1955
—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%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory › estimation theory
channel estimation
0.011955
Some remarks on statistical detection · IRE Trans. Inf. Theory 1955
Information theory › hypothesis testing
maximum likelihood detection
0.011955
Some remarks on statistical detection · IRE Trans. Inf. Theory 1955

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

statistical estimation theory · 0.0maximum likelihood estimation · 0.0
YearPublicationVenuePosition
1955 Some remarks on statistical detection
abstract
A particular type of communications detection problem is considered: the problem of specifying a detector to decide which one of two sure signals is being transmitted when the signals are perturbed randomly both by Gaussian noise and multipath transmission. If the delays in the various channels are known, but the strengths are random, a maximum likelihood detector may be specified by methods which are a simple extension of known methods. If the delays are random, the problem is more difficult. One possible solution is first to estimate certain channel parameters from the received signal and then to use these estimates in a likelihood test. It is shown how to make consistent unbiased estimates for appropriate channel parameters under certain assumptions on the nature of the signal.
William L. Root, Tom Stephen Pitcher
IRE Trans. Inf. Theory2