Zobrazeno 1 - 6
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pro vyhledávání: '"Petrovic, Miljan"'
Publikováno v:
In Digital Signal Processing January 2024 144
The emerging field of graph signal processing (GSP) allows to transpose classical signal processing operations (e.g., filtering) to signals on graphs. The GSP framework is generally built upon the graph Laplacian, which plays a crucial role to study
Externí odkaz:
http://arxiv.org/abs/2008.10375
Autor:
Petrović, Miljan, Bolton, Thomas A. W., Preti, Maria Giulia, Liégeois, Raphaël, Van De Ville, Dimitri
Graph spectral analysis can yield meaningful embeddings of graphs by providing insight into distributed features not directly accessible in nodal domain. Recent efforts in graph signal processing have proposed new decompositions-e.g., based on wavele
Externí odkaz:
http://arxiv.org/abs/1812.03684
Autor:
Petrovic, Miljan
Community structure in graph-modeled data appears in a range of disciplines that comprise network science. Its importance relies on the influence it bears on other properties of graphs such as resilience, or prediction of missing connections. Neverth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39ee1ff40c51b88388937be01253c9e0
Akademický článek
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Various time- and frequency-based approaches have been proposed to measure baroreflex sensitivity. All these methods are block-based ones. This study proposes a novel instantaneous measure of baroreflex sensitivity that enables the investigation of f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::9cb57346b424a779dbd3465189afe6db
https://infoscience.epfl.ch/record/230386
https://infoscience.epfl.ch/record/230386