{"title":"Comprehensive Experiment and Design of Spectrum Refinement for Digital Signal Processing Under the Background of New Engineering","authors":"Shaoming Wei, Ying-Jen Lin, Xueyin Geng, Jun Wang","doi":"10.1109/CACML55074.2022.00049","DOIUrl":null,"url":null,"abstract":"In order to transform the training method of new engineering talents and combine engineering practice, this paper designs a comprehensive experiment of digital signal processing spectrum refinement. Use Matlab and millimeter wave radar hardware platform to realize complex frequency shift, low-pass filtering, resampling, fast Fourier transform and other functions. This experiment not only enables students to master the basic knowledge of digital signal processing, but also understand the application of digital signal processing in engineering. It can also stimulate students' ability to innovate and combine theory with practice, which can effectively improve classroom effects.","PeriodicalId":137505,"journal":{"name":"2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CACML55074.2022.00049","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
In order to transform the training method of new engineering talents and combine engineering practice, this paper designs a comprehensive experiment of digital signal processing spectrum refinement. Use Matlab and millimeter wave radar hardware platform to realize complex frequency shift, low-pass filtering, resampling, fast Fourier transform and other functions. This experiment not only enables students to master the basic knowledge of digital signal processing, but also understand the application of digital signal processing in engineering. It can also stimulate students' ability to innovate and combine theory with practice, which can effectively improve classroom effects.