Loading…

Signal-to-Noise Ratio Analysis of Bandpass Sampling Time-Modulated Fourier Transform Spectroscopy

In Bandpass Sampling Fourier Transform Spectroscopy, a comprehensive method for evaluating signal-to-noise ratio (SNR) has not yet been established. This paper employs an energy conservation approach to analyze the relationship of SNR between interferogram and spectra in Bandpass Sampling Time-Modul...

Full description

Saved in:
Bibliographic Details
Published in:Applied sciences 2024-11, Vol.14 (21), p.10015
Main Authors: Chen, Xinwen, Tan, Zheng, Wang, Jianwei, Zhao, Na, Tang, Yinhui, Liu, Yangyang, Si, Jia, Zhang, Yu, Sun, Jianying, Li, Weiyan, Lv, Qunbo
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c293t-4dd832faa0d65777ba0878ed8af73ecf9277c245c3cb224104e17342cf252d4d3
container_end_page
container_issue 21
container_start_page 10015
container_title Applied sciences
container_volume 14
creator Chen, Xinwen
Tan, Zheng
Wang, Jianwei
Zhao, Na
Tang, Yinhui
Liu, Yangyang
Si, Jia
Zhang, Yu
Sun, Jianying
Li, Weiyan
Lv, Qunbo
description In Bandpass Sampling Fourier Transform Spectroscopy, a comprehensive method for evaluating signal-to-noise ratio (SNR) has not yet been established. This paper employs an energy conservation approach to analyze the relationship of SNR between interferogram and spectra in Bandpass Sampling Time-Modulated Fourier Transform Spectroscopy (BPS-FTS). It systematically presents models for the average SNR of the system interferogram and the average SNR of reconstructed spectra under different parameters. These models are compared with SNR models in traditional Fourier transform spectroscopy (FTS) and are mutually validated through theoretical modeling and simulation analysis. It provides a theoretical basis and simulation verification for the design and implementation of the system.
doi_str_mv 10.3390/app142110015
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_bb34d82562d444ef97656f4d1638a301</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A815343756</galeid><doaj_id>oai_doaj_org_article_bb34d82562d444ef97656f4d1638a301</doaj_id><sourcerecordid>A815343756</sourcerecordid><originalsourceid>FETCH-LOGICAL-c293t-4dd832faa0d65777ba0878ed8af73ecf9277c245c3cb224104e17342cf252d4d3</originalsourceid><addsrcrecordid>eNpNUU1v2zAMNYYVWJD11h8gYNe5lUTJso9ZsG4B2g5o0rPA6CNQYFue5Bzy76c2xVDyQOKB74F8rKobRm8BOnqH08QEZ4xSJj9VC05VU4Ng6vOH_kt1nfORlugYtIwuKtyGw4h9Pcf6KYbsyDPOIZJVwc45ZBI9-YGjnTBnssVh6sN4ILswuPox2lOPs7PkPp5ScInsEo7ZxzSQ7eTMnGI2cTp_ra489tldv9dl9XL_c7f-XT_8-bVZrx5qwzuYa2FtC9wjUttIpdQeaataZ1v0CpzxHVfKcCENmD3nglHhmALBjeeSW2FhWW0uujbiUU8pDJjOOmLQb0BMB41pDqZ3er8HYVsum0IUwvlONbLxwrIGWgTKita3i9aU4t-Ty7M-lhuLJ1kD47LrOiVpmbq9TB2wiIbRxzmhKWndEEwcnQ8FX7VMggAlm0L4fiGY4k1Ozv9fk1H9-kT98YnwDyzGjdY</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3125999750</pqid></control><display><type>article</type><title>Signal-to-Noise Ratio Analysis of Bandpass Sampling Time-Modulated Fourier Transform Spectroscopy</title><source>Publicly Available Content Database</source><creator>Chen, Xinwen ; Tan, Zheng ; Wang, Jianwei ; Zhao, Na ; Tang, Yinhui ; Liu, Yangyang ; Si, Jia ; Zhang, Yu ; Sun, Jianying ; Li, Weiyan ; Lv, Qunbo</creator><creatorcontrib>Chen, Xinwen ; Tan, Zheng ; Wang, Jianwei ; Zhao, Na ; Tang, Yinhui ; Liu, Yangyang ; Si, Jia ; Zhang, Yu ; Sun, Jianying ; Li, Weiyan ; Lv, Qunbo</creatorcontrib><description>In Bandpass Sampling Fourier Transform Spectroscopy, a comprehensive method for evaluating signal-to-noise ratio (SNR) has not yet been established. This paper employs an energy conservation approach to analyze the relationship of SNR between interferogram and spectra in Bandpass Sampling Time-Modulated Fourier Transform Spectroscopy (BPS-FTS). It systematically presents models for the average SNR of the system interferogram and the average SNR of reconstructed spectra under different parameters. These models are compared with SNR models in traditional Fourier transform spectroscopy (FTS) and are mutually validated through theoretical modeling and simulation analysis. It provides a theoretical basis and simulation verification for the design and implementation of the system.</description><identifier>ISSN: 2076-3417</identifier><identifier>EISSN: 2076-3417</identifier><identifier>DOI: 10.3390/app142110015</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Accuracy ; bandpass sampling ; China ; Codes ; Comparative analysis ; Correspondence ; Energy ; Energy conservation ; Fourier transforms ; FTS ; Radiation ; Sampling error ; Sensors ; Signal to noise ratio ; SNR ; Spectrum analysis</subject><ispartof>Applied sciences, 2024-11, Vol.14 (21), p.10015</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c293t-4dd832faa0d65777ba0878ed8af73ecf9277c245c3cb224104e17342cf252d4d3</cites><orcidid>0000-0002-4508-6253</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3125999750/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3125999750?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25731,27901,27902,36989,44566,74869</link.rule.ids></links><search><creatorcontrib>Chen, Xinwen</creatorcontrib><creatorcontrib>Tan, Zheng</creatorcontrib><creatorcontrib>Wang, Jianwei</creatorcontrib><creatorcontrib>Zhao, Na</creatorcontrib><creatorcontrib>Tang, Yinhui</creatorcontrib><creatorcontrib>Liu, Yangyang</creatorcontrib><creatorcontrib>Si, Jia</creatorcontrib><creatorcontrib>Zhang, Yu</creatorcontrib><creatorcontrib>Sun, Jianying</creatorcontrib><creatorcontrib>Li, Weiyan</creatorcontrib><creatorcontrib>Lv, Qunbo</creatorcontrib><title>Signal-to-Noise Ratio Analysis of Bandpass Sampling Time-Modulated Fourier Transform Spectroscopy</title><title>Applied sciences</title><description>In Bandpass Sampling Fourier Transform Spectroscopy, a comprehensive method for evaluating signal-to-noise ratio (SNR) has not yet been established. This paper employs an energy conservation approach to analyze the relationship of SNR between interferogram and spectra in Bandpass Sampling Time-Modulated Fourier Transform Spectroscopy (BPS-FTS). It systematically presents models for the average SNR of the system interferogram and the average SNR of reconstructed spectra under different parameters. These models are compared with SNR models in traditional Fourier transform spectroscopy (FTS) and are mutually validated through theoretical modeling and simulation analysis. It provides a theoretical basis and simulation verification for the design and implementation of the system.</description><subject>Accuracy</subject><subject>bandpass sampling</subject><subject>China</subject><subject>Codes</subject><subject>Comparative analysis</subject><subject>Correspondence</subject><subject>Energy</subject><subject>Energy conservation</subject><subject>Fourier transforms</subject><subject>FTS</subject><subject>Radiation</subject><subject>Sampling error</subject><subject>Sensors</subject><subject>Signal to noise ratio</subject><subject>SNR</subject><subject>Spectrum analysis</subject><issn>2076-3417</issn><issn>2076-3417</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNUU1v2zAMNYYVWJD11h8gYNe5lUTJso9ZsG4B2g5o0rPA6CNQYFue5Bzy76c2xVDyQOKB74F8rKobRm8BOnqH08QEZ4xSJj9VC05VU4Ng6vOH_kt1nfORlugYtIwuKtyGw4h9Pcf6KYbsyDPOIZJVwc45ZBI9-YGjnTBnssVh6sN4ILswuPox2lOPs7PkPp5ScInsEo7ZxzSQ7eTMnGI2cTp_ra489tldv9dl9XL_c7f-XT_8-bVZrx5qwzuYa2FtC9wjUttIpdQeaataZ1v0CpzxHVfKcCENmD3nglHhmALBjeeSW2FhWW0uujbiUU8pDJjOOmLQb0BMB41pDqZ3er8HYVsum0IUwvlONbLxwrIGWgTKita3i9aU4t-Ty7M-lhuLJ1kD47LrOiVpmbq9TB2wiIbRxzmhKWndEEwcnQ8FX7VMggAlm0L4fiGY4k1Ozv9fk1H9-kT98YnwDyzGjdY</recordid><startdate>20241101</startdate><enddate>20241101</enddate><creator>Chen, Xinwen</creator><creator>Tan, Zheng</creator><creator>Wang, Jianwei</creator><creator>Zhao, Na</creator><creator>Tang, Yinhui</creator><creator>Liu, Yangyang</creator><creator>Si, Jia</creator><creator>Zhang, Yu</creator><creator>Sun, Jianying</creator><creator>Li, Weiyan</creator><creator>Lv, Qunbo</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4508-6253</orcidid></search><sort><creationdate>20241101</creationdate><title>Signal-to-Noise Ratio Analysis of Bandpass Sampling Time-Modulated Fourier Transform Spectroscopy</title><author>Chen, Xinwen ; Tan, Zheng ; Wang, Jianwei ; Zhao, Na ; Tang, Yinhui ; Liu, Yangyang ; Si, Jia ; Zhang, Yu ; Sun, Jianying ; Li, Weiyan ; Lv, Qunbo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-4dd832faa0d65777ba0878ed8af73ecf9277c245c3cb224104e17342cf252d4d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Accuracy</topic><topic>bandpass sampling</topic><topic>China</topic><topic>Codes</topic><topic>Comparative analysis</topic><topic>Correspondence</topic><topic>Energy</topic><topic>Energy conservation</topic><topic>Fourier transforms</topic><topic>FTS</topic><topic>Radiation</topic><topic>Sampling error</topic><topic>Sensors</topic><topic>Signal to noise ratio</topic><topic>SNR</topic><topic>Spectrum analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Xinwen</creatorcontrib><creatorcontrib>Tan, Zheng</creatorcontrib><creatorcontrib>Wang, Jianwei</creatorcontrib><creatorcontrib>Zhao, Na</creatorcontrib><creatorcontrib>Tang, Yinhui</creatorcontrib><creatorcontrib>Liu, Yangyang</creatorcontrib><creatorcontrib>Si, Jia</creatorcontrib><creatorcontrib>Zhang, Yu</creatorcontrib><creatorcontrib>Sun, Jianying</creatorcontrib><creatorcontrib>Li, Weiyan</creatorcontrib><creatorcontrib>Lv, Qunbo</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Directory of Open Access Journals</collection><jtitle>Applied sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Xinwen</au><au>Tan, Zheng</au><au>Wang, Jianwei</au><au>Zhao, Na</au><au>Tang, Yinhui</au><au>Liu, Yangyang</au><au>Si, Jia</au><au>Zhang, Yu</au><au>Sun, Jianying</au><au>Li, Weiyan</au><au>Lv, Qunbo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Signal-to-Noise Ratio Analysis of Bandpass Sampling Time-Modulated Fourier Transform Spectroscopy</atitle><jtitle>Applied sciences</jtitle><date>2024-11-01</date><risdate>2024</risdate><volume>14</volume><issue>21</issue><spage>10015</spage><pages>10015-</pages><issn>2076-3417</issn><eissn>2076-3417</eissn><abstract>In Bandpass Sampling Fourier Transform Spectroscopy, a comprehensive method for evaluating signal-to-noise ratio (SNR) has not yet been established. This paper employs an energy conservation approach to analyze the relationship of SNR between interferogram and spectra in Bandpass Sampling Time-Modulated Fourier Transform Spectroscopy (BPS-FTS). It systematically presents models for the average SNR of the system interferogram and the average SNR of reconstructed spectra under different parameters. These models are compared with SNR models in traditional Fourier transform spectroscopy (FTS) and are mutually validated through theoretical modeling and simulation analysis. It provides a theoretical basis and simulation verification for the design and implementation of the system.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/app142110015</doi><orcidid>https://orcid.org/0000-0002-4508-6253</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2076-3417
ispartof Applied sciences, 2024-11, Vol.14 (21), p.10015
issn 2076-3417
2076-3417
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_bb34d82562d444ef97656f4d1638a301
source Publicly Available Content Database
subjects Accuracy
bandpass sampling
China
Codes
Comparative analysis
Correspondence
Energy
Energy conservation
Fourier transforms
FTS
Radiation
Sampling error
Sensors
Signal to noise ratio
SNR
Spectrum analysis
title Signal-to-Noise Ratio Analysis of Bandpass Sampling Time-Modulated Fourier Transform Spectroscopy
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T10%3A00%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Signal-to-Noise%20Ratio%20Analysis%20of%20Bandpass%20Sampling%20Time-Modulated%20Fourier%20Transform%20Spectroscopy&rft.jtitle=Applied%20sciences&rft.au=Chen,%20Xinwen&rft.date=2024-11-01&rft.volume=14&rft.issue=21&rft.spage=10015&rft.pages=10015-&rft.issn=2076-3417&rft.eissn=2076-3417&rft_id=info:doi/10.3390/app142110015&rft_dat=%3Cgale_doaj_%3EA815343756%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c293t-4dd832faa0d65777ba0878ed8af73ecf9277c245c3cb224104e17342cf252d4d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3125999750&rft_id=info:pmid/&rft_galeid=A815343756&rfr_iscdi=true