{"title":"时间编码机的滑动窗信号重构","authors":"N. T. Thao","doi":"10.1109/EBCCSP.2016.7605240","DOIUrl":null,"url":null,"abstract":"We propose a new approach to signal reconstruction for the time encoding machine introduced by Lazar and Tóth. While practical algorithms of reconstruction from non-uniform samples are mostly based on an ill-posed block treatment of bandlimited signals, we provide a methodology to perform this reconstruction by time-varying FIR filters. Results of SNR versus complexity are given.","PeriodicalId":411767,"journal":{"name":"2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Sliding-window signal reconstruction for time encoding machine\",\"authors\":\"N. T. Thao\",\"doi\":\"10.1109/EBCCSP.2016.7605240\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a new approach to signal reconstruction for the time encoding machine introduced by Lazar and Tóth. While practical algorithms of reconstruction from non-uniform samples are mostly based on an ill-posed block treatment of bandlimited signals, we provide a methodology to perform this reconstruction by time-varying FIR filters. Results of SNR versus complexity are given.\",\"PeriodicalId\":411767,\"journal\":{\"name\":\"2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EBCCSP.2016.7605240\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EBCCSP.2016.7605240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sliding-window signal reconstruction for time encoding machine
We propose a new approach to signal reconstruction for the time encoding machine introduced by Lazar and Tóth. While practical algorithms of reconstruction from non-uniform samples are mostly based on an ill-posed block treatment of bandlimited signals, we provide a methodology to perform this reconstruction by time-varying FIR filters. Results of SNR versus complexity are given.