Sparse convolution-based digital derivatives, fast estimation for noisy signals and approximation results-Reference-Cited by-同舟云学术

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Sparse convolution-based digital derivatives, fast estimation for noisy signals and approximation results

Published:2016-04 Issue: Volume:624 Page:2-24
ISSN:0304-3975
Container-title:Theoretical Computer Science
language:en
Short-container-title:Theoretical Computer Science

Author:

Esbelin Henri-Alex,Malgouyres Rémy

Funder

Agence Nationale pour la Recherche

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference22 articles.

1. Interval analysis: theory and applications;Alefeld;J. Comput. Appl. Math.,2000

2. Integral based curvature estimators in digital geometry;Coeurjolly,2013

3. Multigrid convergent principal curvature estimators in digital geometry;Coeurjolly;Comput. Vis. Image Underst.,2014

4. Robust geometry estimation using the generalized Voronoi covariance measure;Cuel;SIAM J. Imaging Sci.,2015

5. Comparison and improvement of tangent estimators on digital curves;de Vieilleville;Pattern Recognit.,2009

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1. Design and tests of solid‐state fault current limiters prototypes;International Transactions on Electrical Energy Systems;2020-12-11

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