{"title":"主动噪声控制系统的高效自适应滤波器设计","authors":"I-Ling Chung, Fuh-Hsin Hwang, Cheng-Yuan Chang, Chang-Min Chou","doi":"10.1109/FUZZY.2009.5277339","DOIUrl":null,"url":null,"abstract":"This paper presents an intelligent filter design method with a fixed-point digital signal processor (DSP) and illustrates its performance on the application of active noise cancellation (ANC) system. The proposed designing method uses magnitude and phase compensation techniques to eliminate the errors associated with the nonlinear distortion of analog devices in the application, and hence, to improve the ANC performance. The quantization and rounding errors associated with the fixed-point DSP are also compensated for. Several experiments verify the enhancement.","PeriodicalId":117895,"journal":{"name":"2009 IEEE International Conference on Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient adaptive filter design to the active noise control system\",\"authors\":\"I-Ling Chung, Fuh-Hsin Hwang, Cheng-Yuan Chang, Chang-Min Chou\",\"doi\":\"10.1109/FUZZY.2009.5277339\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an intelligent filter design method with a fixed-point digital signal processor (DSP) and illustrates its performance on the application of active noise cancellation (ANC) system. The proposed designing method uses magnitude and phase compensation techniques to eliminate the errors associated with the nonlinear distortion of analog devices in the application, and hence, to improve the ANC performance. The quantization and rounding errors associated with the fixed-point DSP are also compensated for. Several experiments verify the enhancement.\",\"PeriodicalId\":117895,\"journal\":{\"name\":\"2009 IEEE International Conference on Fuzzy Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Fuzzy Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.2009.5277339\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Fuzzy Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.2009.5277339","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient adaptive filter design to the active noise control system
This paper presents an intelligent filter design method with a fixed-point digital signal processor (DSP) and illustrates its performance on the application of active noise cancellation (ANC) system. The proposed designing method uses magnitude and phase compensation techniques to eliminate the errors associated with the nonlinear distortion of analog devices in the application, and hence, to improve the ANC performance. The quantization and rounding errors associated with the fixed-point DSP are also compensated for. Several experiments verify the enhancement.