New Method for Transient Signal Analysis using the Continuous Wavelet Transform

preprint OA: closed
Full text JSON View at publisher
Full text 9,310 characters · extracted from preprint-html · click to expand
New Method for Transient Signal Analysis using the Continuous Wavelet Transform | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article New Method for Transient Signal Analysis using the Continuous Wavelet Transform Eduardo Gomez-Luna, Dixon Cuadros, John E. Candelo-Becerra This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4369592/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This paper presents a new method for transient signal analysis in the frequency domain based on the continuous wavelet transform (CWT). The study involved testing signals obtained from an electronic switch that considers opening and closing operations. The source is connected to inductive, resistive, and capacitive loads. The resonance behaviors were analyzed, obtaining the result that the signal processing performed by CWT is better for spectrum analysis than the Fourier Transform (FT). The results show that the CWT achieves greater reliability, repeatability, high noise attenuation, and softness of the analyzed spectrum. This study shows the potential of WT for analyzing transient signals, specifically in the connection and disconnection of loads. transient signals signal processing discrete Fourier transform continuous Wavelet transform frequency spectrum. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4369592","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":302676197,"identity":"44bd7816-3a60-4e7e-9a62-17f372470fe1","order_by":0,"name":"Eduardo Gomez-Luna","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABTklEQVRIie2RT0sCQRiHZ1hYLyNeZ6l2v8IsA1YoduxrOCysl/W6eJAYEcZDhVehP98hhK2jy4BdVs92U4JOBUYQeonWJWPVpI4d5oGBed+Xhx/vDAAKxb+kHB99WdS+2xiAjMbji/aLEqUVDf5BgSI92aLkMp79VvOLwDo+ZZP5dcncv5DhY/bugLWbsDEGtQLjGdlLKcbZMzWioQvsaNAlRuDQ3aHr0GyEWUfCJgFRhXHkllMKGXnEaAgJ7E41wHbQYx2E8jtZgSmQUGAoJOMYkZRyNPLo/Eu5nbHLhZJ7TxRLwtYMfmwoBHv5JMXC1QCEPEnRF4pJ4hQA+YaCoyf/kA9dRNCga/C+QzHSqX0VK3a8Cy73K1Ss7pJrOd0H7hdNq3V+8zqrl0yMtMn4RZwg874ZTqf1wl579cWWIPJTd+2j17D4loFCoVAoPgEPJXSz33TciQAAAABJRU5ErkJggg==","orcid":"","institution":"Universidad del Valle","correspondingAuthor":true,"prefix":"","firstName":"Eduardo","middleName":"","lastName":"Gomez-Luna","suffix":""},{"id":302676198,"identity":"4480112d-bf92-4a2e-8167-8f44f61f27bf","order_by":1,"name":"Dixon Cuadros","email":"","orcid":"","institution":"CELSIA Colombia","correspondingAuthor":false,"prefix":"","firstName":"Dixon","middleName":"","lastName":"Cuadros","suffix":""},{"id":302676199,"identity":"2a455e7c-3cda-4656-b03b-510078f5f6a5","order_by":2,"name":"John E. Candelo-Becerra","email":"","orcid":"","institution":"Universidad Nacional de Colombia","correspondingAuthor":false,"prefix":"","firstName":"John","middleName":"E.","lastName":"Candelo-Becerra","suffix":""}],"badges":[],"createdAt":"2024-05-04 19:38:58","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4369592/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4369592/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":57151980,"identity":"c0768fe1-f275-41f6-9cce-373d86f35d93","added_by":"auto","created_at":"2024-05-26 06:01:41","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3214436,"visible":true,"origin":"","legend":"","description":"","filename":"ArtculoGomezLunaUpdate.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4369592/v1_covered_00aaf10f-6491-4780-88d3-dcacece04a21.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"New Method for Transient Signal Analysis using the Continuous Wavelet Transform","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"transient signals, signal processing, discrete Fourier transform, continuous Wavelet transform, frequency spectrum.","lastPublishedDoi":"10.21203/rs.3.rs-4369592/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4369592/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"This paper presents a new method for transient signal analysis in the frequency domain based on the continuous wavelet transform (CWT). The study involved testing signals obtained from an electronic switch that considers opening and closing operations. The source is connected to inductive, resistive, and capacitive loads. The resonance behaviors were analyzed, obtaining the result that the signal processing performed by CWT is better for spectrum analysis than the Fourier Transform (FT). The results show that the CWT achieves greater reliability, repeatability, high noise attenuation, and softness of the analyzed spectrum. This study shows the potential of WT for analyzing transient signals, specifically in the connection and disconnection of loads.","manuscriptTitle":"New Method for Transient Signal Analysis using the Continuous Wavelet Transform","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-05-22 05:01:46","doi":"10.21203/rs.3.rs-4369592/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"9c6d7419-82d0-43d7-94df-1b3362f3e114","owner":[],"postedDate":"May 22nd, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-05-26T05:53:21+00:00","versionOfRecord":[],"versionCreatedAt":"2024-05-22 05:01:46","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4369592","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4369592","identity":"rs-4369592","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00