{"title":"自适应滤波器的硬件实现","authors":"Yaghoub Mollaei","doi":"10.1109/SCORED.2009.5443365","DOIUrl":null,"url":null,"abstract":"Adaptive filter is one of the most important areas in digital signal processing. This paper seeks to use this area to remove noise from noise corrupted audio signals. An adaptive FIR filter with normalized LMS algorithm is designed to cancel the noise. A SIMULINK model is created and linked to TI TMS320C6711 digital signal processor through embedded target for TI C6000 SIMULINK toolbox and REAL-TIME workshop to perform hardware adaptive noise cancellation. The result is a noise free audio signal in the DSP board output.","PeriodicalId":443287,"journal":{"name":"2009 IEEE Student Conference on Research and Development (SCOReD)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Hardware implementation of adaptive filters\",\"authors\":\"Yaghoub Mollaei\",\"doi\":\"10.1109/SCORED.2009.5443365\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Adaptive filter is one of the most important areas in digital signal processing. This paper seeks to use this area to remove noise from noise corrupted audio signals. An adaptive FIR filter with normalized LMS algorithm is designed to cancel the noise. A SIMULINK model is created and linked to TI TMS320C6711 digital signal processor through embedded target for TI C6000 SIMULINK toolbox and REAL-TIME workshop to perform hardware adaptive noise cancellation. The result is a noise free audio signal in the DSP board output.\",\"PeriodicalId\":443287,\"journal\":{\"name\":\"2009 IEEE Student Conference on Research and Development (SCOReD)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Student Conference on Research and Development (SCOReD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCORED.2009.5443365\",\"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 Student Conference on Research and Development (SCOReD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCORED.2009.5443365","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive filter is one of the most important areas in digital signal processing. This paper seeks to use this area to remove noise from noise corrupted audio signals. An adaptive FIR filter with normalized LMS algorithm is designed to cancel the noise. A SIMULINK model is created and linked to TI TMS320C6711 digital signal processor through embedded target for TI C6000 SIMULINK toolbox and REAL-TIME workshop to perform hardware adaptive noise cancellation. The result is a noise free audio signal in the DSP board output.
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