{"title":"简化RPE算法及其定点实现","authors":"Yuan Hongxing, Wu Shaoqun, Zha Changjun","doi":"10.1109/ICICTA.2011.460","DOIUrl":null,"url":null,"abstract":"In mobile communication it is necessary to remove acoustic echo. Most acoustic echo cancellation algorithms are sensitive to double-talk. Recursive prediction error (RPE) algorithm is one of the best solutions to such problem. However integrating the algorithm into headsets is a challenging task due to conversion from floating-point to fixed-point. To address this problem, the simplification approach and fixed-point implementation are proposed. Simulation results validate the simplification and its fixed-point implementation.","PeriodicalId":368130,"journal":{"name":"2011 Fourth International Conference on Intelligent Computation Technology and Automation","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Simplified RPE Algorithm and its Fixed-Point Implementation\",\"authors\":\"Yuan Hongxing, Wu Shaoqun, Zha Changjun\",\"doi\":\"10.1109/ICICTA.2011.460\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In mobile communication it is necessary to remove acoustic echo. Most acoustic echo cancellation algorithms are sensitive to double-talk. Recursive prediction error (RPE) algorithm is one of the best solutions to such problem. However integrating the algorithm into headsets is a challenging task due to conversion from floating-point to fixed-point. To address this problem, the simplification approach and fixed-point implementation are proposed. Simulation results validate the simplification and its fixed-point implementation.\",\"PeriodicalId\":368130,\"journal\":{\"name\":\"2011 Fourth International Conference on Intelligent Computation Technology and Automation\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fourth International Conference on Intelligent Computation Technology and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICTA.2011.460\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Conference on Intelligent Computation Technology and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICTA.2011.460","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simplified RPE Algorithm and its Fixed-Point Implementation
In mobile communication it is necessary to remove acoustic echo. Most acoustic echo cancellation algorithms are sensitive to double-talk. Recursive prediction error (RPE) algorithm is one of the best solutions to such problem. However integrating the algorithm into headsets is a challenging task due to conversion from floating-point to fixed-point. To address this problem, the simplification approach and fixed-point implementation are proposed. Simulation results validate the simplification and its fixed-point implementation.