Cellular Fourier analysis for geometrically disordered materials
Antoine Fruleux, Arezki Boudaoud

TL;DR
This paper introduces the Cellular Fourier Transform (CFT), a novel spectral analysis method designed for geometrically disordered materials, enabling multiscale analysis of complex biological and physical media.
Contribution
The paper develops a new spectral analysis technique, CFT, that effectively handles irregular geometries where classical Fourier methods fail, facilitating analysis of disordered cellular structures.
Findings
CFT accurately reproduces spectra of sinusoidal and random fields.
Classical Fourier methods fail in geometrically disordered media.
CFT is applicable to biological tissues and complex materials.
Abstract
Many media are divided into elementary units with irregular shape and size, as exemplified by domains in magnetic materials, bubbles in foams, or cells in biological tissues. Such media are essentially characterized by geometrical disorder of their elementary units, which we term cells. Cells set a reference scale at which are often assessed parameters and fields reflecting material properties and state. Here, we consider the spectral analysis of spatially varying fields. Such analysis is difficult in geometrically disordered media, because space discretization based on standard coordinate systems is not commensurate with the natural discretization into geometrically disordered cells. Indeed, we found that two classical spectral methods, the Fast Fourier Transform and the Graph Fourier transform, fail to reproduce all expected properties of spectra of plane waves and of white noise. We…
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