Robustness via Diffractal Architectures

TL;DR

This paper introduces diffractal architectures that leverage fractal diffraction patterns to enable robust signal processing and spatial multiplexing, allowing the reconstruction of entire signals from partial diffraction data.

Contribution

It demonstrates that fractal-based diffraction patterns can be used for robust signal recovery and multiplexing, a novel approach in optical signal processing.

Findings

Diffractal patterns contain complete information about the original signal.

Partial diffraction data can reconstruct the entire sparse signal.

The architecture enhances robustness in optical communications.

Abstract

When plane waves diffract through fractal-patterned apertures, the resulting far-field profiles or diffractals also exhibit iterated, self-similar features. Here we show that this specific architecture enables robust signal processing and spatial multiplexing: arbitrary parts of a diffractal contain sufficient information to recreate the entire original sparse signal.