{"title":"基于先验误差模型的IADC误差校正Volterra滤波技术","authors":"P. Mikulík, J. Saliga","doi":"10.1109/IMTC.2001.929487","DOIUrl":null,"url":null,"abstract":"Dynamic nonlinear effects contribute significantly to analog-to-digital converters (ADC) distortion. Volterra filtering can present an effective method for modeling and compensation of these phenomena. Considering an a-priori error model of ADC allows one to find an efficient inverse Volterra model for error correction. Method effectiveness is demonstrated on experimental measurements.","PeriodicalId":68878,"journal":{"name":"Journal of Measurement Science and Instrumentation","volume":"125 1","pages":"1672-1676 vol.3"},"PeriodicalIF":0.0000,"publicationDate":"2001-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Volterra filtration technique for IADC error correction, based on an a-priori error model\",\"authors\":\"P. Mikulík, J. Saliga\",\"doi\":\"10.1109/IMTC.2001.929487\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dynamic nonlinear effects contribute significantly to analog-to-digital converters (ADC) distortion. Volterra filtering can present an effective method for modeling and compensation of these phenomena. Considering an a-priori error model of ADC allows one to find an efficient inverse Volterra model for error correction. Method effectiveness is demonstrated on experimental measurements.\",\"PeriodicalId\":68878,\"journal\":{\"name\":\"Journal of Measurement Science and Instrumentation\",\"volume\":\"125 1\",\"pages\":\"1672-1676 vol.3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Measurement Science and Instrumentation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMTC.2001.929487\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Measurement Science and Instrumentation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMTC.2001.929487","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Volterra filtration technique for IADC error correction, based on an a-priori error model
Dynamic nonlinear effects contribute significantly to analog-to-digital converters (ADC) distortion. Volterra filtering can present an effective method for modeling and compensation of these phenomena. Considering an a-priori error model of ADC allows one to find an efficient inverse Volterra model for error correction. Method effectiveness is demonstrated on experimental measurements.