Wavelet-based partition function for remote analysis of fractal superlattices

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Electronics letters 2002-07, Vol.38 (14), p.1-1
Hauptverfasser: Laksari, Y, Aubert, H, Jaggard, D L
Format: Artikel
Sprache:eng
Schlagworte:
Fractal analysis
Fractals
Mathematical analysis
Mathematical models
Partitions
Self-similarity
Similarity
Superlattices
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
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.
ISSN:0013-5194
1350-911X