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Patrik Wahlberg

dblp:82/5253 · DBLP profile ↗
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4ranked-venue papers
4as first author
0since 2021 · last 2010
0000-0003-4740-0629ORCID · corroborated

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

Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-authorTheory of computation · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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 › nonstationary processes
cyclostationary process
0.112008
Spectral Relations for Multidimensional Complex Improper Stationary and (Almost) Cyclostationary Processes · IEEE Trans. Inf. Theory 2008
Information theory › probability theory › stochastic processes › stochastic process representation
spectral representation
0.112008
Spectral Relations for Multidimensional Complex Improper Stationary and (Almost) Cyclostationary Processes · IEEE Trans. Inf. Theory 2008
YearPublicationVenuePosition
2010 On Wiener filtering of certain locally stationary stochastic processes
Patrik Wahlberg, Peter J. Schreier
Signal Process.1
2008 Spectral Relations for Multidimensional Complex Improper Stationary and (Almost) Cyclostationary Processes
abstract
We study continuous-time multidimensional wide- sense stationary (WSS) and (almost) cyclostationary processes in the frequency domain. Under the assumption that the correlation function is uniformly continuous, we prove the existence of a unique sequence of spectral measures, which coincide with the restrictions to certain subdiagonals of the spectral measure in the strongly harmonizable case. Moreover, the off-diagonal measures are absolutely continuous with respect to the diagonal measure. As a consequence, for strongly harmonizable scalar improper almost cyclostationary processes, we obtain representation formulas for the components of the complementary spectral measure and the off-diagonal components of the spectral measure, in terms of the diagonal component of the spectral measure. We apply these results to analytic signals, which produces sufficient conditions for propriety for almost cyclostationary analytic signals.
Patrik Wahlberg, Peter J. Schreier
IEEE Trans. Inf. Theory1
2007 Spectra of multidimensional complex improper (almost) cyclostationary processes
abstract
We analyze the spectral measure and complementary spectral measure for strongly harmonizable cyclostationary and almost cyclostationary multidimensional complex improper processes. We show that the off-diagonal components of the spectral measure are absolutely continuous with respect to the diagonal component, which is a generalization of a result for scalar processes. For scalar almost cyclostationary processes, we derive representation formulas for the complementary spectral measure and the off-diagonal components of the spectral measure, in terms of the diagonal component of the spectral measure. These results are similar to the cyclostationary case, with some modifications concerning the off-diagonal components of the complementary spectral measure.
Patrik Wahlberg, Peter J. Schreier
ISIT1
2003 Methods for alignment of multi-class signal sets
Patrik Wahlberg, Göran Salomonsson
Signal Process.1