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Mohamed N. Gulamhusein

dblp:134/8113 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1973
—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 › probability theory › stochastic processes › time series
autocorrelation analysis
0.011973
Short-time spectral and autocorrelation analysis in the Walsh domain · IEEE Trans. Inf. Theory 1973
Information theory
signal processing
0.011973
Short-time spectral and autocorrelation analysis in the Walsh domain · IEEE Trans. Inf. Theory 1973
YearPublicationVenuePosition
1973 Short-time spectral and autocorrelation analysis in the Walsh domain
abstract
A short-time dyadic autocorrelation function (dacf) and a short-time Walsh energy spectrum of the first kind are defined in the Walsh-Fourier domain. The "natural" choice of the short-time functions does not lead to a Walsh-Fourier transform pair (dyadic Wiener-Khintchine theorem), and thus a second kind of short-time dacf and short-time Walsh energy spectrum are defined as the Walsh-Fourier transforms of the first kind. This leads to a meaningful and convenient Walsh transform pair between the first short-time Walsh energy spectrum and the second short-time dacf. The measurement procedures for both kinds of functions are discussed, and the mean values of these short-time functions are shown to be related to the corresponding long-time functions.
Mohamed N. Gulamhusein, Frank Fallside
IEEE Trans. Inf. Theory1