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Posts tagged #Wavelets

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Stéphane Mallat, bâtisseur de ponts mathématiques et informatiques En alliant abstraction théorique et retombées concrètes, Stéphane Mallat, lauréat 2025 de la médaille d’or du CNRS, a marqué de son empreinte les mathématiques et les sciences informatiques. Du format...

Stéphane Mallat, bâtisseur de ponts mathématiques et informatiques - lauréat 2025 de la médaille d’or du CNRS #ondelettes #wavelets
lejournal.cnrs.fr/articles/ste...

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Wavelet transforms were highlighted as an alternative, offering localized frequency information unlike the FT's global view. This shows a deeper appreciation for choosing the right mathematical tool for specific analytical tasks. #Wavelets 6/6

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gabdst/TurbulenceFlux.jl: v0.2.0 A Julia package for high resolution flux estimation

🛠️ Try the tool: zenodo.org/records/1531...

Congrats again to @gbrldst.bsky.social for leading this important step toward more accurate and flexible flux measurements!

#EnvironmentalMonitoring #CarbonCycle #EcosystemFluxes #Wavelets

(5/5)

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Multiresolution Analysis and Statistical Thresholding on Dynamic Networks Detecting structural change in dynamic network data has wide-ranging applications. Existing approaches typically divide the data into time bins, extract network features within each bin, and then comp...

📄 Preprint available:
 arxiv.org/abs/2506.01208

Joint work with @tijldebie.bsky.social @nickheard @alexandermodell
#TemporalNetworks #DynamicGraphs #NetworkScience #ChangeDetection #Cybersecurity #SignalProcessing #Wavelets #StatisticalLearning #TimeSeries #GraphML

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Multiresolution Analysis and Statistical Thresholding on Dynamic Networks Detecting structural change in dynamic network data has wide-ranging applications. Existing approaches typically divide the data into time bins, extract network features within each bin, and then comp...

📄 Full preprint available:
arxiv.org/abs/2506.01208

Joint work with @tijldebie.bsky.social @alexandermodell @nickheard
#TemporalNetworks #DynamicGraphs #NetworkScience #ChangeDetection #Cybersecurity #SignalProcessing #Wavelets #StatisticalLearning #TimeSeries #GraphML

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Multiresolution Analysis and Statistical Thresholding on Dynamic Networks Detecting structural change in dynamic network data has wide-ranging applications. Existing approaches typically divide the data into time bins, extract network features within each bin, and then comp...

📄 Link to the full preprint:
arxiv.org/abs/2506.01208

Joint work with @tijldebie.bsky.social @alexandermodell @nickheard
#TemporalNetworks #DynamicGraphs #NetworkScience #ChangeDetection #Cybersecurity #SignalProcessing #Wavelets #StatisticalLearning #TimeSeries #GraphML

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2 people standing thigh deep in the sea just off the end of a sandbar. Wavelets roll in from a calm sea

2 people standing thigh deep in the sea just off the end of a sandbar. Wavelets roll in from a calm sea

This afternoon at the #beach #herveybay #halftide #calmwater #bluesky #wavelets

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Harmonic analysis and applications: a collection of articles in Honor of Ingrid Daubechies 70th birthday Ingrid Daubechies has made profound contributions to mathematics, especially in wavelet theory, harmonic analysis, and signal processing. Her groundbreaking ...

📣 Call for Papers! Submit to our special collection in La Matematica honoring Ingrid Daubechies’ 70th Birthday 🎉
Topic: Harmonic analysis & applications
🗓 Deadline: Aug 1, 2025
link.springer.com/collections/...
#Math #Wavelets #HarmonicAnalysis #CallForPapers #LaMatematica

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MotionWavelet: Human Motion Prediction via Wavelet Manifold Learning

Authors: Y.Feng, Z. Dou, L. Liu et al.

pre-print -> arxiv.org/abs/2411.16964
website -> frank-zy-dou.github.io/projects/Mot...

#motion_prediction #wavelets #diffusion

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A guide for using the Wavelet Transform in Machine Learning 1. Introduction

This guide dives into using the Wavelet Transform in Machine Learning, showing how to uncover patterns in your data using signal processing techniques. A must-read for data scientists and signal processing enthusiasts!

ataspinar.com/posts/a-guid...

#Wavelets #MachineLearning #SignalProcessing

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