Quantifying self-organization with optimal wavelets
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[1] S. Mallat. A wavelet tour of signal processing , 1998 .
[2] G. Wergen,et al. Records in stochastic processes—theory and applications , 2012, 1211.6005.
[4] J. Kurths,et al. Recurrence-plot-based measures of complexity and their application to heart-rate-variability data. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[5] Stéphane Mallat,et al. A Wavelet Tour of Signal Processing - The Sparse Way, 3rd Edition , 2008 .
[6] Antonio Turiel,et al. Application of the microcanonical multifractal formalism to monofractal systems. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[7] 公庄 庸三. Discrete math = 離散数学 , 2004 .
[8] David Jou,et al. Understanding Non-equilibrium Thermodynamics , 2008 .
[9] Carl S. McTague,et al. The organization of intrinsic computation: complexity-entropy diagrams and the diversity of natural information processing. , 2008, Chaos.
[10] N. Jojic,et al. Ieee Transactions on Signal Processing: Supplement on Secure Media 1 Facecerts Ieee Transactions on Signal Processing: Supplement on Secure Media 2 , 2003 .
[11] Stuart A. Kauffman,et al. The origins of order , 1993 .
[12] J. Kurths,et al. Complex network approach for recurrence analysis of time series , 2009, 0907.3368.
[13] Robert Haslinger,et al. Quantifying self-organization with optimal predictors. , 2004, Physical review letters.