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K. Drouiche

dblp:80/1970 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2003
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1Theory of computation · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory › probability theory › stochastic processes › time series
autoregressive process		 0.012003
Testing proportionality for autoregressive processes · IEEE Trans. Inf. Theory 2003
Information theory › signal processing
spectral estimation		 0.012003
Testing proportionality for autoregressive processes · IEEE Trans. Inf. Theory 2003
Information theory › probability theory › stochastic processes
time series analysis		 0.012003
Testing proportionality for autoregressive processes · IEEE Trans. Inf. Theory 2003

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

hypothesis testing · 0.0asymptotic analysis · 0.0
YearPublicationVenuePosition
2003 Testing proportionality for autoregressive processes
abstract
We introduce a new hypothesis test to determine wether or not two autoregressive spectral densities are proportional. A test for autoregressive coefficient nullity or randomness is deduced. We also derive the exact asymptotic behavior for these tests under parametric alternatives and show that, given a significance level, our tests are the most powerful (MP) tests among all tests.
K. Drouiche
 IEEE Trans. Inf. Theory1
2003 Highly Regular Wavelets for the Detection of Clustered Microcalcifications in Mammograms
abstract
In this paper, we consider the problem of detecting clustered microcalcification in digitized mammograms using new wavelets with a high Sobolev regularity index. We experimentally assess the superiority of the new wavelets when compared with the classical ones.
G. Lemaur, K. Drouiche, J. DeConinck
 IEEE Trans. Medical Imaging2
1993 Tracking nonstationarities with a wavelet transform
Hamid Krim, Jean-Christophe Pesquet, K. Drouiche
 ICASSP (1)3