Wavelet Analysis on Symbolic Sequences and Two-Fold de Bruijn Sequences

@article{Osipov2016WaveletAO,
  title={Wavelet Analysis on Symbolic Sequences and Two-Fold de Bruijn Sequences},
  author={Vladimir A. Osipov},
  journal={Journal of Statistical Physics},
  year={2016},
  volume={164},
  pages={142-165}
}
  • V. Osipov
  • Published 9 January 2016
  • Computer Science
  • Journal of Statistical Physics
The concept of symbolic sequences play important role in study of complex systems. In the work we are interested in ultrametric structure of the set of cyclic sequences naturally arising in theory of dynamical systems. Aimed at construction of analytic and numerical methods for investigation of clusters we introduce operator language on the space of symbolic sequences and propose an approach based on wavelet analysis for study of the cluster hierarchy. The analytic power of the approach is… 
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A financial time series image algorithm based on wavelet analysis and data fusion based on RBF algorithm in neural network and SPSS Clementine is proposed and the results show that the prediction results of the wavelet prediction method combined with the RBF network prediction method are better than those ofWavelet prediction or RBf network prediction.
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A Complete Bibliography of the Journal of Statistical Physics: 2000{2009
(2 + 1) [XTpXpH12, CTH11]. + [Zuc11b]. 0 [Fed17]. 1 [BELP15, CAS11, Cor16, Fed17, GDL10, GBL16, Hau16, JV19, KT12, KM19c, Li19, MN14b, Nak17, Pal11, Pan14, RT14, RBS16b, RY12, SS18c, Sug10, dOP18]. 1

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