Bivariate Multifractal Analysis for Non-Homogenous Point Processes, with Application to Geospatial Data-Reference-Cited by-同舟云学术

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Bivariate Multifractal Analysis for Non-Homogenous Point Processes, with Application to Geospatial Data

Published:2023-09-04 Issue: Volume: Page:
ISSN:
Container-title:2023 31st European Signal Processing Conference (EUSIPCO)
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Author:

Lengyel Janka¹,Roux Stéphane¹,Thiraux Ptashanna¹,Abry Patrice¹,Bonin Olivier²,Jaffard Stéphane³

Affiliation:

1. Université de Lyon, ENS de Lyon CNRS,Lab. de Physique,Lyon,FR

2. Univ Gustave Eiffel, Ecole des Ponts LVMT,Marne-la-Vallée,FR

3. Univ Paris Est Creteil, CNRS LAMA, UMR 8050,Créteil,FR

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10289698/10289713/10290049.pdf?arnumber=10290049

Reference22 articles.

1. Multifractal Analysis of Multivariate Images Using Gamma Markov Random Field Priors

2. Multifractal formalism for fractal signals: The structure-function approach versus the wavelet-transform modulus-maxima method

3. Multifractal Characterization for Bivariate Data

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Python package for the local multiscale analysis of spatial point processes (LomPy);Environment and Planning B: Urban Analytics and City Science;2024-01-19

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