论文信息 - Self-similar set identification in the time-scale domain

Self-similar set identification in the time-scale domain

We study the wavelet transform of deterministic self-similar signals and derive their properties, as well as a new algorithm for identification of the self-similarity parameter. We also include such applications as characterization and analysis of real chaotic signals in the presence of additive noise.

Chrysostomos L. Nikias | George A. Tsihrintzis | Edmond A. Jonckheere | Sam Heidari

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