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Masami Tanabe

dblp:08/4080 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1981
—ORCID · none

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

Theory of computation · 2

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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory › probability theory › stochastic processes
level crossings
0.011979
Level dependence of the variance of the number of level-crossing points of a stationary Gaussian process (Corresp.) · IEEE Trans. Inf. Theory 1979
Information theory › probability theory › stochastic processes › gaussian processes
stationary gaussian process
0.011979
Level dependence of the variance of the number of level-crossing points of a stationary Gaussian process (Corresp.) · IEEE Trans. Inf. Theory 1979
Information theory › probability theory
stochastic processes
0.011979
Level dependence of the variance of the number of level-crossing points of a stationary Gaussian process (Corresp.) · IEEE Trans. Inf. Theory 1979

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

spectral analysis · 0.0numerical computation · 0.0
YearPublicationVenuePosition
1981 The multipeak property of the distribution densities of the level-crossing intervals of a Gaussian random process
abstract
The distribution density of the level-crossing time intervals of a Gaussian process reveals more than one peak if the crossing level becomes negative. The number and height of the peaks depend on the spectrum bandwidth of the Gaussian process and on the crossing-level.
T. Mimaki, Masami Tanabe, Dietrich Wolf
IEEE Trans. Inf. Theory2
1979 Level dependence of the variance of the number of level-crossing points of a stationary Gaussian process (Corresp.)
abstract
The variance of the number of level-crossing points of stationary Gaussian processes is calculated numerically for several spectral shapes. It is shown that as the crossing level is changed the variance reaches a maximum at some nonzero level for most spectral shapes of the underlying Gaussian process. An attempt is made to interpret the result using some simple assumptions.
Masami Tanabe
IEEE Trans. Inf. Theory2