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- W2079347934 abstract "One of the most remarkable properties of wavelet transform is its ability to separate data into different scale contents. For data that show self-similar characteristics in every scale, like fractal landscape, the wavelet spectrum also shows self-similarity. Nevertheless, the situation is not so clear for time dependent data, like seismic geology, solar flares, among others systems that are known to contain self-organized criticality. It is not obvious that these properties will be present in the wavelet spectrum in the form of self-similarity. In this work, we apply two gradient field computational operators R2 yields R, the Complex Entropic Form and the Asymmetric Amplitude Fragmentation, as a mean to differentiate self-similarity from different sources.© (1999) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
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- W2079347934 date "1999-10-26" @default.
- W2079347934 modified "2023-09-23" @default.
- W2079347934 title "<title>Asymmetry and self-similarity in the wavelet spectrum</title>" @default.
- W2079347934 doi "https://doi.org/10.1117/12.366849" @default.
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