{"title":"基于nlms的回声消除算法研究","authors":"E. Abdel-Raheem","doi":"10.1109/ISSPIT.2005.1577179","DOIUrl":null,"url":null,"abstract":"This paper investigates computationally-efficient adaptive algorithms suitable for echo cancellation applications. Power-of-two (PO2) quantization for the error and/or regressor vector is added to a selective-partial-coefficient-update algorithm (SPCUA) to further reduce the amount of computations. A simple stop-and-go procedure is included to save more computations when the generated error magnitude is below a certain limit. Simulation results with comparisons are included to show the advantages of the improved algorithms","PeriodicalId":421826,"journal":{"name":"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On computationally-efficient NLMS-based algorithms for echo cancellation applications\",\"authors\":\"E. Abdel-Raheem\",\"doi\":\"10.1109/ISSPIT.2005.1577179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates computationally-efficient adaptive algorithms suitable for echo cancellation applications. Power-of-two (PO2) quantization for the error and/or regressor vector is added to a selective-partial-coefficient-update algorithm (SPCUA) to further reduce the amount of computations. A simple stop-and-go procedure is included to save more computations when the generated error magnitude is below a certain limit. Simulation results with comparisons are included to show the advantages of the improved algorithms\",\"PeriodicalId\":421826,\"journal\":{\"name\":\"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPIT.2005.1577179\",\"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 Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2005.1577179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On computationally-efficient NLMS-based algorithms for echo cancellation applications
This paper investigates computationally-efficient adaptive algorithms suitable for echo cancellation applications. Power-of-two (PO2) quantization for the error and/or regressor vector is added to a selective-partial-coefficient-update algorithm (SPCUA) to further reduce the amount of computations. A simple stop-and-go procedure is included to save more computations when the generated error magnitude is below a certain limit. Simulation results with comparisons are included to show the advantages of the improved algorithms