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Wilbert Dijkhof

dblp:80/331 · also W. J. Dijkhof · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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
Wireless sensing and localization · 100%

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

TopicWeightPapersLastEvidence papers
Information theory › estimation theory
autoregressive model fitting		 0.012003
On finite sample statistics for Yule-Walker estimates · IEEE Trans. Inf. Theory 2003
Information theory
estimation theory		 0.012003
On finite sample statistics for Yule-Walker estimates · IEEE Trans. Inf. Theory 2003
Information theory › signal processing
statistical signal processing		 0.012003
On finite sample statistics for Yule-Walker estimates · IEEE Trans. Inf. Theory 2003
Wireless sensing and localization
radar signal processing		 0.012003
On finite sample statistics for Yule-Walker estimates · IEEE Trans. Inf. Theory 2003

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

taylor approximation · 0.1
YearPublicationVenuePosition
2003 On finite sample statistics for Yule-Walker estimates
abstract
The expectation of the square of the reflection coefficient in small samples of white noise is derived. This variance of the reflection coefficient in white noise is a key factor in the statistics of the estimation of autoregressive (AR) models in small samples. Approximations of this expectation are constructed that are more accurate than the known first-order Taylor approximation. These better approximations are needed, because in some applications (radar applications, for example) the number of observations is small (say 63 observations) and asymptotic descriptions do not cover the estimates.
Einar Wensink, Wilbert Dijkhof
 IEEE Trans. Inf. Theory2