{"title":"Alignment process using correlation influence of template estimation","authors":"Olivier Meste, Hervé Rix, M. Perrone","doi":"10.1109/IEMBS.1992.5761652","DOIUrl":null,"url":null,"abstract":"Matched Filtering is currently used for Time Delay Estimation between a repetitive signal and a template obtained by synchronous averaging. We propose an analysis of the effect of the estimation of the template by signal averaging on the final averaged signal. We give a sufficient condition which has to be verified by the jitter occuring in the averaging process. This condition often verified practically is sufficient to avoid biased results. The disturbing effect will be illustrated by simulation using a noiseless gaussian signal.","PeriodicalId":6457,"journal":{"name":"1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"118 1","pages":"2730-2731"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMBS.1992.5761652","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Matched Filtering is currently used for Time Delay Estimation between a repetitive signal and a template obtained by synchronous averaging. We propose an analysis of the effect of the estimation of the template by signal averaging on the final averaged signal. We give a sufficient condition which has to be verified by the jitter occuring in the averaging process. This condition often verified practically is sufficient to avoid biased results. The disturbing effect will be illustrated by simulation using a noiseless gaussian signal.
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