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Related Experiment Video

Updated: Jun 13, 2026

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
12:14

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Published on: August 12, 2013

Differentiation of a noninteger order and its optical implementation.

H Kasprzak1

  • 1Technical University of Wroclaw, Institute of Physics, Wroclaw, Wybrzeze Wyspianskiego 27, Poland.

Applied Optics
|April 17, 2010
PubMed
Summary

This study defines arbitrary order differentiation using Fourier transform properties. Researchers physically implemented this generalized differentiation with a coherent processing system and binary synthetic filters, demonstrating 1-D and 2-D filter models and results.

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Area of Science:

  • Mathematics
  • Signal Processing
  • Optics

Background:

  • Generalized differentiation extends calculus concepts to non-integer orders.
  • Fourier transform is a powerful tool for analyzing frequency components of signals.
  • Optical processing offers a physical implementation pathway for complex mathematical operations.

Purpose of the Study:

  • To define and provide examples of arbitrary order differentiation.
  • To physically implement generalized differentiation using optical methods.
  • To demonstrate the effectiveness of binary synthetic filters in this application.

Main Methods:

  • Utilized properties of the Fourier transform for defining arbitrary order differentiation.
  • Employed a coherent processing system for physical implementation.
  • Designed and tested 1-D and 2-D binary synthetic filters.

Main Results:

  • Successfully defined arbitrary order differentiation.
  • Demonstrated physical implementation of generalized differentiation.
  • Presented models and experimental results for 1-D and 2-D binary filters.

Conclusions:

  • Arbitrary order differentiation can be effectively defined using Fourier transform properties.
  • Coherent optical systems with binary synthetic filters are suitable for implementing generalized differentiation.
  • Experimental validation confirms the feasibility of the proposed method.