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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Format: | Article |
Language: | English |
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MDPI AG
2023-02-01
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Series: | Sensors |
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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. |
first_indexed | 2024-03-11T09:25:44Z |
format | Article |
id | doaj.art-f2bf7af16fb64c139386e6fcfe6ada12 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-11T09:25:44Z |
publishDate | 2023-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
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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