Wavelet-based partition function for remote analysis of fractal superlattices
A wavelet-based partition function is introduced for remotely estimating the similarity dimension of discrete self-similar (fractal) superlattices. From the impulse-response wavelet-transform of such multi-scale structures the partition function is computed by summing only the contribution of the wa...
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| Veröffentlicht in: | Electronics letters 2002-07, Vol.38 (14), p.741-742 |
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| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | A wavelet-based partition function is introduced for remotely estimating the similarity dimension of discrete self-similar (fractal) superlattices. From the impulse-response wavelet-transform of such multi-scale structures the partition function is computed by summing only the contribution of the wavelet-transform modulus-maxima that belong to a hierarchical structure in the time-scale domain. |
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| ISSN: | 0013-5194 1350-911X |
| DOI: | 10.1049/el:20020493 |