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Simulation of GHz ultrasonic wave piezoelectric instrumentation for Fourier transform computation
The recent emerging alternative to classic numerical Fast Fourier transform (FFT) computation, based on GHz ultrasonic waves generated from and detected by piezoelectric transducers for wavefront computing (WFC), is more efficient and energy-saving. In this paper, we present comprehensive studies on...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497588/ https://www.ncbi.nlm.nih.gov/pubmed/37699994 http://dx.doi.org/10.1038/s41598-023-42191-1 |
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author | Yang, Zaifeng Tan, Xing Haw Marvin Bui, Viet Phuong Png, Ching Eng |
author_facet | Yang, Zaifeng Tan, Xing Haw Marvin Bui, Viet Phuong Png, Ching Eng |
author_sort | Yang, Zaifeng |
collection | PubMed |
description | The recent emerging alternative to classic numerical Fast Fourier transform (FFT) computation, based on GHz ultrasonic waves generated from and detected by piezoelectric transducers for wavefront computing (WFC), is more efficient and energy-saving. In this paper, we present comprehensive studies on the modeling and simulation methods for ultrasonic WFC computation. We validate the design of the WFC system using ray-tracing, Fresnel diffraction (FD), and the full-wave finite element method (FEM). To effectively simulate the WFC system for inputs of 1-D signals and 2-D images, we verified the design parameters and focal length of an ideal plano-concave lens using the ray-tracing method. We also compared the analytical FFT solution with our Fourier transform (FT) results from 3-D and 2-D FD and novel 2-D full wave FEM simulations of a multi-level Fresnel lens with 1-D signals and 2-D images as inputs. Unlike the previously reported WFC system which catered only for 2-D images, our proposed method also can solve the 1-D FFT effectively. We validate our proposed 2-D full wave FEM simulation method by comparing our results with the theoretical FFT and Fresnel diffraction method. The FFT results from FD and FEM agree well with the digitally computed FFT, with computational complexity reduced from [Formula: see text] to O(N) for 2-D FFT, and from O(NlogN) to O(N) for 1-D FFT with a large number of signal sampling points N. |
format | Online Article Text |
id | pubmed-10497588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104975882023-09-14 Simulation of GHz ultrasonic wave piezoelectric instrumentation for Fourier transform computation Yang, Zaifeng Tan, Xing Haw Marvin Bui, Viet Phuong Png, Ching Eng Sci Rep Article The recent emerging alternative to classic numerical Fast Fourier transform (FFT) computation, based on GHz ultrasonic waves generated from and detected by piezoelectric transducers for wavefront computing (WFC), is more efficient and energy-saving. In this paper, we present comprehensive studies on the modeling and simulation methods for ultrasonic WFC computation. We validate the design of the WFC system using ray-tracing, Fresnel diffraction (FD), and the full-wave finite element method (FEM). To effectively simulate the WFC system for inputs of 1-D signals and 2-D images, we verified the design parameters and focal length of an ideal plano-concave lens using the ray-tracing method. We also compared the analytical FFT solution with our Fourier transform (FT) results from 3-D and 2-D FD and novel 2-D full wave FEM simulations of a multi-level Fresnel lens with 1-D signals and 2-D images as inputs. Unlike the previously reported WFC system which catered only for 2-D images, our proposed method also can solve the 1-D FFT effectively. We validate our proposed 2-D full wave FEM simulation method by comparing our results with the theoretical FFT and Fresnel diffraction method. The FFT results from FD and FEM agree well with the digitally computed FFT, with computational complexity reduced from [Formula: see text] to O(N) for 2-D FFT, and from O(NlogN) to O(N) for 1-D FFT with a large number of signal sampling points N. Nature Publishing Group UK 2023-09-12 /pmc/articles/PMC10497588/ /pubmed/37699994 http://dx.doi.org/10.1038/s41598-023-42191-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yang, Zaifeng Tan, Xing Haw Marvin Bui, Viet Phuong Png, Ching Eng Simulation of GHz ultrasonic wave piezoelectric instrumentation for Fourier transform computation |
title | Simulation of GHz ultrasonic wave piezoelectric instrumentation for Fourier transform computation |
title_full | Simulation of GHz ultrasonic wave piezoelectric instrumentation for Fourier transform computation |
title_fullStr | Simulation of GHz ultrasonic wave piezoelectric instrumentation for Fourier transform computation |
title_full_unstemmed | Simulation of GHz ultrasonic wave piezoelectric instrumentation for Fourier transform computation |
title_short | Simulation of GHz ultrasonic wave piezoelectric instrumentation for Fourier transform computation |
title_sort | simulation of ghz ultrasonic wave piezoelectric instrumentation for fourier transform computation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497588/ https://www.ncbi.nlm.nih.gov/pubmed/37699994 http://dx.doi.org/10.1038/s41598-023-42191-1 |
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