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...

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Egile Nagusiak:	Miguel E. Iglesias Martínez, Òscar Garibo-i-Orts, J. Alberto Conejero
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2025-02-01
Saila:	Photonics
Gaiak:	anomalous diffusion subdiffusion superdiffusion higher-order spectral analysis multiple signal classification
Sarrera elektronikoa:	https://www.mdpi.com/2304-6732/12/2/145
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