M. Allie, Cary D. Bremigan, L. Eriksson, R. Greiner
{"title":"Hardware and software considerations for active noise control","authors":"M. Allie, Cary D. Bremigan, L. Eriksson, R. Greiner","doi":"10.1109/ICASSP.1988.197178","DOIUrl":null,"url":null,"abstract":"Active noise control is a real-time application of adaptive digital filtering which requires the full capabilities of a modern digital signal processing module. Even though frequencies are low, so that sample rates of a few kilohertz can be used, the extensive computations involved require efficient, high-speed processing. System hardware was designed to allow software-controlled versatility as well as fully automatic operation of a complete active noise control system. The ability to self-calibrate and self-model are important system features. Adaptive filter lengths determine the algorithm speed and necessary memory requirements. System limitations were primarily caused by on-chip memory size. The use of the Texas Instruments TMS32010 for this application and the improvements possible with the TMS32020 are described.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1988.197178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Active noise control is a real-time application of adaptive digital filtering which requires the full capabilities of a modern digital signal processing module. Even though frequencies are low, so that sample rates of a few kilohertz can be used, the extensive computations involved require efficient, high-speed processing. System hardware was designed to allow software-controlled versatility as well as fully automatic operation of a complete active noise control system. The ability to self-calibrate and self-model are important system features. Adaptive filter lengths determine the algorithm speed and necessary memory requirements. System limitations were primarily caused by on-chip memory size. The use of the Texas Instruments TMS32010 for this application and the improvements possible with the TMS32020 are described.<>