{"title":"处理器阵列上粒子滤波的快速计算","authors":"A. Horváth, M. Rásonyi","doi":"10.1109/CNNA.2010.5430293","DOIUrl":null,"url":null,"abstract":"We have developed a new variant of the particle filter algorithm for estimating a signal from noisy observations. It suits ideally implementation on a cellular processor array. The error of the new algorithm is essentially the same as that of the old one but it runs much faster, especially when there is a large number of particles to be simulated.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Fast computation of particle filters on processor arrays\",\"authors\":\"A. Horváth, M. Rásonyi\",\"doi\":\"10.1109/CNNA.2010.5430293\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We have developed a new variant of the particle filter algorithm for estimating a signal from noisy observations. It suits ideally implementation on a cellular processor array. The error of the new algorithm is essentially the same as that of the old one but it runs much faster, especially when there is a large number of particles to be simulated.\",\"PeriodicalId\":336891,\"journal\":{\"name\":\"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNNA.2010.5430293\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.2010.5430293","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fast computation of particle filters on processor arrays
We have developed a new variant of the particle filter algorithm for estimating a signal from noisy observations. It suits ideally implementation on a cellular processor array. The error of the new algorithm is essentially the same as that of the old one but it runs much faster, especially when there is a large number of particles to be simulated.