Self-similar set identification in the time-scale domain

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

doi:10.1117/12.188781

11 October 1994 Self-similar set identification in the time-scale domain

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

Proceedings Volume 2303, Wavelet Applications in Signal and Image Processing II; (1994) https://doi.org/10.1117/12.188781
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

Citation Download Citation

Sam Heidari, George A. Tsihrintzis, Chrysostomos L. Nikias, and 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); https://doi.org/10.1117/12.188781

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