Publication
Multidimensional Persistence and Noise
Résumé
In this paper, we study multidimensional persistence modules (Carlsson and Zomorodian in Discrete Comput Geom 42(1):71-93, 2009; Lesnick in Found Comput Math 15(3):613-650, 2015) via what we call tame functors and noise systems. A noise system leads to a pseudometric topology on the category of tame functors. We show how this pseudometric can be used to identify persistent features of compact multidimensional persistence modules. To count such features, we introduce the feature counting invariant and prove that assigning this invariant to compact tame functors is a 1-Lipschitz operation. For one-dimensional persistence, we explain how, by choosing an appropriate noise system, the feature counting invariant identifies the same persistent features as the classical barcode construction.
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Proximité ontologique
Concepts associés (32)
Bruit de mesure
En métrologie, le bruit de mesure est l'ensemble des signaux parasites qui se superposent au signal que l'on cherche à obtenir au moyen d'une mesure d'un phénomène physique. Ces signaux sont une gêne pour la compréhension de l'information que le signal transporte. La métrologie vise donc notamment à connaître leurs origines et à les caractériser, afin de les éliminer et d'obtenir le signal d'origine aussi distinctement que possible. La source du bruit d'origine externe est externe au système physique générant le signal utile et agit par influence sur celui-ci.
Topological data analysis
In applied mathematics, topological data analysis (TDA) is an approach to the analysis of datasets using techniques from topology. Extraction of information from datasets that are high-dimensional, incomplete and noisy is generally challenging. TDA provides a general framework to analyze such data in a manner that is insensitive to the particular metric chosen and provides dimensionality reduction and robustness to noise. Beyond this, it inherits functoriality, a fundamental concept of modern mathematics, from its topological nature, which allows it to adapt to new mathematical tools.
Débruitage
Le débruitage est une technique d'édition qui consiste à supprimer des éléments indésirables (« bruit »), afin de rendre un document, un signal (numérique ou analogique) ou un environnement plus intelligible ou plus pur. Ne pas confondre le débruitage avec la réduction de bruit. Sur le plan sonore, le débruitage consiste à réduire ou anéantir le rendu d'ondes sonores « parasites » (ou « bruit »).
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