Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification

Diffraction algorithms with adjustable magnification are dominant in holographic projection and imaging. However, the algorithms are limited by the Nyquist sampling conditions, and simulation results with inappropriate parameters sometimes appear with aliasing. At present, many diffraction algorithm...

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Main Authors: Chunzheng Wang, Jianshe Ma, Chao Cai, Ping Su
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/3/1662
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author Chunzheng Wang
Jianshe Ma
Chao Cai
Ping Su
author_facet Chunzheng Wang
Jianshe Ma
Chao Cai
Ping Su
author_sort Chunzheng Wang
collection DOAJ
description Diffraction algorithms with adjustable magnification are dominant in holographic projection and imaging. However, the algorithms are limited by the Nyquist sampling conditions, and simulation results with inappropriate parameters sometimes appear with aliasing. At present, many diffraction algorithms have been proposed and improved, but there is a need for an overall analysis of their sampling conditions. In this paper, some classical diffraction algorithms with adjustable magnification are summarized, and their sampling conditions in the case of plane wave or spherical wave illumination are analyzed and compared, which helps to select the appropriate diffraction algorithm according to the specific parameter conditions of the simulation to avoid aliasing.
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spelling doaj.art-f2bf7af16fb64c139386e6fcfe6ada122023-11-16T18:04:17ZengMDPI AGSensors1424-82202023-02-01233166210.3390/s23031662Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable MagnificationChunzheng Wang0Jianshe Ma1Chao Cai2Ping Su3Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, ChinaTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, ChinaTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, ChinaTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, ChinaDiffraction algorithms with adjustable magnification are dominant in holographic projection and imaging. However, the algorithms are limited by the Nyquist sampling conditions, and simulation results with inappropriate parameters sometimes appear with aliasing. At present, many diffraction algorithms have been proposed and improved, but there is a need for an overall analysis of their sampling conditions. In this paper, some classical diffraction algorithms with adjustable magnification are summarized, and their sampling conditions in the case of plane wave or spherical wave illumination are analyzed and compared, which helps to select the appropriate diffraction algorithm according to the specific parameter conditions of the simulation to avoid aliasing.https://www.mdpi.com/1424-8220/23/3/1662diffraction algorithmssampling conditionsaliasing
spellingShingle Chunzheng Wang
Jianshe Ma
Chao Cai
Ping Su
Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification
Sensors
diffraction algorithms
sampling conditions
aliasing
title Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification
title_full Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification
title_fullStr Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification
title_full_unstemmed Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification
title_short Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification
title_sort nyquist sampling conditions of some diffraction algorithms with adjustable magnification
topic diffraction algorithms
sampling conditions
aliasing
url https://www.mdpi.com/1424-8220/23/3/1662
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AT jianshema nyquistsamplingconditionsofsomediffractionalgorithmswithadjustablemagnification
AT chaocai nyquistsamplingconditionsofsomediffractionalgorithmswithadjustablemagnification
AT pingsu nyquistsamplingconditionsofsomediffractionalgorithmswithadjustablemagnification