M. Oolun, C. Bhurtun, K. Soyjaudah, M.I. Jahmeerbaccus
{"title":"Active noise control in real-time using a TMS320C50 DSP system board","authors":"M. Oolun, C. Bhurtun, K. Soyjaudah, M.I. Jahmeerbaccus","doi":"10.1109/AFRCON.2002.1146815","DOIUrl":null,"url":null,"abstract":"This paper presents a real-time active noise controller system, based around a TMS320C50 DSP system board. The proposed technique consists of identifying the noisy space medium where the cancellation needs to be effected using a coded interrogation technique, and subsequently cancelling the noise using a simple, yet robust prediction strategy. Software coding and implementation has been achieved, with a signal-to-noise ratio improvement of up to 16 dB. The time taken to achieve this performance is about 32 s, for a wideband noise over the range 50 to 200 Hz. Once the system has learned the noise characteristics of the medium, it offers good tracking characteristics in cancelling the noise thereafter.","PeriodicalId":185871,"journal":{"name":"IEEE AFRICON. 6th Africon Conference in Africa,","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE AFRICON. 6th Africon Conference in Africa,","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AFRCON.2002.1146815","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a real-time active noise controller system, based around a TMS320C50 DSP system board. The proposed technique consists of identifying the noisy space medium where the cancellation needs to be effected using a coded interrogation technique, and subsequently cancelling the noise using a simple, yet robust prediction strategy. Software coding and implementation has been achieved, with a signal-to-noise ratio improvement of up to 16 dB. The time taken to achieve this performance is about 32 s, for a wideband noise over the range 50 to 200 Hz. Once the system has learned the noise characteristics of the medium, it offers good tracking characteristics in cancelling the noise thereafter.