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Theory and algorithm of the homeomorphic Fourier transform for optical simulations

Zongzhao Wang, Olga Baladron-Zorita, Christian Hellmann, Frank Wyrowski

2020Optics Express24 citationsDOIOpen Access PDF

Abstract

The introduction of the fast Fourier transform (FFT) constituted a crucial step towards a faster and more efficient physio-optics modeling and design, since it is a faster version of the Discrete Fourier transform. However, the numerical effort of the operation explodes in the case of field components presenting strong wavefront phases-very typical occurrences in optics- due to the requirement of the FFT that the wrapped phase be well sampled. In this paper, we propose an approximated algorithm to compute the Fourier transform in such a situation. We show that the Fourier transform of fields with strong wavefront phases exhibits a behavior that can be described as a bijective mapping of the amplitude distribution, which is why we name this operation "homeomorphic Fourier transform." We use precisely this characteristic behavior in the mathematical approximation that simplifies the Fourier integral. We present the full theoretical derivation and several numerical applications to demonstrate its advantages in the computing process.

Topics & Concepts

Fast Fourier transformWavefrontFourier transformAlgorithmDiscrete Fourier transform (general)Discrete-time Fourier transformPrime-factor FFT algorithmFractional Fourier transformHartley transformPhase correlationNon-uniform discrete Fourier transformSplit-radix FFT algorithmOpticsComputer scienceFourier analysisMathematicsPhysicsMathematical analysisOrbital Angular Momentum in OpticsAdaptive optics and wavefront sensingDigital Holography and Microscopy