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...
Saved in:
Published in: | Applied sciences 2024-11, Vol.14 (21), p.10015 |
---|---|
Main Authors: | , , , , , , , , , , |
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 |