{"title":"Frequency domain analysis","authors":"M. C. Arva","doi":"10.1109/ECAI.2016.7861127","DOIUrl":null,"url":null,"abstract":"In this paper it is presented the second stage analysis used to determine the signal quality coefficient for vibro-acoustic signals. After successfully determining the integrity coefficient in the “first stage analysis on determining the Signal Quality Coefficient in vibro-acoustic domain-waveform integrity analysis” paper a second and deeper analysis is presented. This is a frequency domain analysis and uses an algorithm of evaluating the spectral resemblance between two analyzed vibro-acoustic signals. Spectrum normalization method is used. By accessing the lost or gained information percentage of spectral components for the targeted signal, a Signal Quality Coefficient (SQC) is determined. The SQC frequency analysis returns a value (percentage) which describes the quality of “target” signal reported to the “reference” signal.","PeriodicalId":122809,"journal":{"name":"2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECAI.2016.7861127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23
Abstract
In this paper it is presented the second stage analysis used to determine the signal quality coefficient for vibro-acoustic signals. After successfully determining the integrity coefficient in the “first stage analysis on determining the Signal Quality Coefficient in vibro-acoustic domain-waveform integrity analysis” paper a second and deeper analysis is presented. This is a frequency domain analysis and uses an algorithm of evaluating the spectral resemblance between two analyzed vibro-acoustic signals. Spectrum normalization method is used. By accessing the lost or gained information percentage of spectral components for the targeted signal, a Signal Quality Coefficient (SQC) is determined. The SQC frequency analysis returns a value (percentage) which describes the quality of “target” signal reported to the “reference” signal.