Box counting is commonly used as a method to determine the multifractal spectrum of measured time series. Here we show that delta-correlated signals, having an (hyper)exponential amplitude distribution, can generate a spurious detection of multifractality. The situation becomes even worse for nonlinearly-filtered, Linear autoregressive processes. Care should thus be exerted when claiming the presence of multifractality in measured data. (C) 2000 Elsevier Science B.V. All rights reserved.

A box-counting red herring / von Hardenberg, J; Thieberger, R; Provenzale, A. - In: PHYSICS LETTERS A. - ISSN 0375-9601. - 269:5-6(2000), pp. 303-308. [10.1016/S0375-9601(00)00265-6]

A box-counting red herring

von Hardenberg, J;
2000

Abstract

Box counting is commonly used as a method to determine the multifractal spectrum of measured time series. Here we show that delta-correlated signals, having an (hyper)exponential amplitude distribution, can generate a spurious detection of multifractality. The situation becomes even worse for nonlinearly-filtered, Linear autoregressive processes. Care should thus be exerted when claiming the presence of multifractality in measured data. (C) 2000 Elsevier Science B.V. All rights reserved.
File in questo prodotto:
File Dimensione Formato  
2000A box1-s2.0-S0375960100002656-main.pdf

non disponibili

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 132.8 kB
Formato Adobe PDF
132.8 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2814912