Decoding Anomalous Diffusion Using Higher-Order Spectral Analysis and Multiple Signal Classification

Anomalous diffusion is characterized by nonlinear growth in the mean square displacement of a trajectory. Recent advances using statistical methods and recurrent neural networks have made it possible to detect such phenomena, even in noisy conditions. In this work, we explore feature extraction thro...

Volledige beschrijving

Bibliografische gegevens

Hoofdauteurs:	Miguel E. Iglesias Martínez, Òscar Garibo-i-Orts, J. Alberto Conejero
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2025-02-01
Reeks:	Photonics
Onderwerpen:	anomalous diffusion subdiffusion superdiffusion higher-order spectral analysis multiple signal classification
Online toegang:	https://www.mdpi.com/2304-6732/12/2/145
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!