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Data-Driven Wavelet Decomposition for Multiscale Structures by Aman Jalan is a document available to read on EtoBox.

What is Data-Driven Wavelet Decomposition for Multiscale Structures about?

This document introduces a method for discovering multiscale and self-similar structures from data using data-driven wavelets. The method reveals inherent structures in datasets without imposing predefined bases. It is applied to turbulence, directly showing evidence of self-similar structures over a wide range of spatial scales, supporting a phenomenological picture of turbulence. This approach provides a starting point for characterizing localized hierarchical structures in multiscale systems.

Author

Aman Jalan

Language

EN