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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sam Heidari, Sam Heidari, George A. Tsihrintzis, George A. Tsihrintzis, Chrysostomos L. Nikias, Chrysostomos L. Nikias, Edmond A. Jonckheere, 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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