{"title":"Estimations of the sinusoidal signal parameters using the non-uniform exponential tracking A/D conversion","authors":"T. Lusin, D. Agrez","doi":"10.1109/I2MTC.2012.6229226","DOIUrl":null,"url":null,"abstract":"High quality analog-to-digital (A/D) conversion is obtained using the non-uniform exponential tracking procedure. Samples of the analog signal and differences of the previous estimations are cycled rapidly through a non-uniform coarse quntizer while the round off error is fed back and subtracted from the input. It has been shown that the proposed A/D conversion gives better results than a classical A/D conversion with the successive approximation procedure due to b-times more available sampling points and the adaptive property of the A/D procedure that every previous approximation step to signal become the centre of observation with exponential increasing resolution in the new step. Evaluation of the exponential tracking A/D conversion performs better results considering both systematic and random errors than the tracking A/D procedure with a uniform quantization.","PeriodicalId":387839,"journal":{"name":"2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2MTC.2012.6229226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
High quality analog-to-digital (A/D) conversion is obtained using the non-uniform exponential tracking procedure. Samples of the analog signal and differences of the previous estimations are cycled rapidly through a non-uniform coarse quntizer while the round off error is fed back and subtracted from the input. It has been shown that the proposed A/D conversion gives better results than a classical A/D conversion with the successive approximation procedure due to b-times more available sampling points and the adaptive property of the A/D procedure that every previous approximation step to signal become the centre of observation with exponential increasing resolution in the new step. Evaluation of the exponential tracking A/D conversion performs better results considering both systematic and random errors than the tracking A/D procedure with a uniform quantization.