11 October 1994 Self-similar set identification in the time-scale domain
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Abstract
This paper presents an extensive study of the wavelet transform of self-similar signals and its properties. In particular, theorems are derived for the wavelet transform of deterministic self- similar signals and are used to identify and characterize them. Applications of interest, such as characterization and analysis of real chaotic signals in the presence of additive noise, are included.
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Sam Heidari, George A. Tsihrintzis, Chrysostomos L. Nikias, Edmond A. Jonckheere, "Self-similar set identification in the time-scale domain", Proc. SPIE 2303, Wavelet Applications in Signal and Image Processing II, (11 October 1994); doi: 10.1117/12.188781; https://doi.org/10.1117/12.188781
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