P. Castiglioni, "Self-similarity in Physiological Time Series: New Perspectives from the Temporal Spectrum of Scale Exponents," in Computational Intelligence Methods for Bioinformatics and Biostatistics: 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30- July 2, 2011, Revised ...
2(a)). In contrast, the time series of the instantaneous velocities of an adult male E. affinis (C) along his trajectory is self-affine in a sense that the x-axis and the y-axis correspond to distinct physical quantities, i.e. time and velocity. In contrast, an object is called ...
Scaling, Self-similarity, and Intermediate Asymptotics: Dimensional Analysis and Intermediate Asymptotics (Cambridge Texts in Applied Mathematics, Series Number 14) Scaling (power-type) laws reveal the fundamental property of the phenomena--self similarity. Self-similar (scaling) phenomena repeat themselves...
Castiglioni, P.: Self-similarity in physiological time series: new perspectives from the temporal spectrum of scale exponents. In: Biganzoli, E., Vellido, A., Ambrogi, F., Tagliaferri, R. (eds.) Computational Intelligence Methods for Bioinformatics and Biostatistics: 8th International Meeting, ...
We have investigated the effect of several corrective measures and find that best results, in the sense of having the first moment converge to zero, are obtained when using the time between events as statistical weights. The corrected time series have been used to check for extended self-...
Originally published in Başar E, Bullock TH (eds) Brain dynamics. Springer, Berlin Heidelberg New York, pp 113-121 (Springer series in brain dynamics, vol 2). Cross references refer to that volume. .RIS DOI Publisher Name Springer Book Archive...
In particular, the cases in which the length of the nth step decreases systematically with n, has been studied extensively. For instance, Krapivsky and Redner studied a class of RW where step size shrinks following a geometric series and found that it gives rise to a variety of beautiful ...
in terms of discrete scale-invariance [9] and a complex critical exponent [10]. A functional form of P is not determined at this level. It only demands that if x = |T −T c |, (4) where T denotes the ordinary time labeling the original price time series, rep- ...
Serrà J, Müller M, Grosche P, Arcos JL (2012) Unsupervised detection of music boundaries by time series structure features. Proceedings of twenty-Sixth AAAI Conference on Artificial Intelligence, pp 1613–1619 Tzanetakis G, Cook P (2002) Musical genre classification of audio signals. IEEE Trans...
When working with trees, Xk will also denote a function from C(R) obtained by linear interpolation of the values of the original time series Xk; this creates no ambiguities in the present context. A HMC is called symmetric (SHMC) if its transition kernel satisfies K(x) = K(−x) for...