Scaling features of texts, images and time series

Alexey N. Pavlov, Werner Ebeling, Lutz Molgedey, Amir R. Ziganshin and Vadim S. Anishchenko

Physica A: Statistical Mechanics and its Applications, 2001, vol. 300, issue 1, 310-324

Abstract: In the given paper, we consider the scaling features of long letter sequences like human writings, discretized images and discretized financial data. Using several approaches we show that the symbolic strings and time series being analyzed have a complex multiscale structure and demonstrate different scalings for large and small fluctuations. We discuss complex phenomena in the scaling behavior of partition functions in the case of high frequency DAX-future data.

Keywords: Scaling; Multifractality; Long-range correlations; Wavelet transform (search for similar items in EconPapers)
Date: 2001
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:300:y:2001:i:1:p:310-324

DOI: 10.1016/S0378-4371(01)00341-7

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