{"title":"用连续滤波的信号反褶积","authors":"A. Lay-Ekuakille, A. Scarano, A. Trotta","doi":"10.1109/LTIMC.2004.1371003","DOIUrl":null,"url":null,"abstract":"Image filtering by Richardson-Lucy algorithm shows an iterative solution for monodimensional signal deconvolution. In this paper the performance of this algorithm will be verified when lidar (light detection and ranging) signals are pre-filtered by an adaptive low-pass filter followed by a couple of ner/nerd filters. Most interesting results, for real-time deconvolution and filtering of lidar signal, will be also showed.","PeriodicalId":317707,"journal":{"name":"Proceedings of the Lightwave Technologies in Instrumentation and Measurement Conference, 2004.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Signal deconvolution with successive filterings\",\"authors\":\"A. Lay-Ekuakille, A. Scarano, A. Trotta\",\"doi\":\"10.1109/LTIMC.2004.1371003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Image filtering by Richardson-Lucy algorithm shows an iterative solution for monodimensional signal deconvolution. In this paper the performance of this algorithm will be verified when lidar (light detection and ranging) signals are pre-filtered by an adaptive low-pass filter followed by a couple of ner/nerd filters. Most interesting results, for real-time deconvolution and filtering of lidar signal, will be also showed.\",\"PeriodicalId\":317707,\"journal\":{\"name\":\"Proceedings of the Lightwave Technologies in Instrumentation and Measurement Conference, 2004.\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-12-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Lightwave Technologies in Instrumentation and Measurement Conference, 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LTIMC.2004.1371003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Lightwave Technologies in Instrumentation and Measurement Conference, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LTIMC.2004.1371003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image filtering by Richardson-Lucy algorithm shows an iterative solution for monodimensional signal deconvolution. In this paper the performance of this algorithm will be verified when lidar (light detection and ranging) signals are pre-filtered by an adaptive low-pass filter followed by a couple of ner/nerd filters. Most interesting results, for real-time deconvolution and filtering of lidar signal, will be also showed.
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