{"title":"基于LASSO调整非零系数个数的FIR滤波器设计方法","authors":"Clemens Klöck","doi":"10.1109/CITS52676.2021.9618507","DOIUrl":null,"url":null,"abstract":"In this document a new FIR filter design algorithm is proposed. The algorithm gives the designer a set of filters which differ in the approximation of the ideal filter characteristic and the number of none-zero elements. The designer can choose a filter based on proposed filter selection criteria which filter is suitable for the tradeoff between approximation as well as processing power and storage capacity.","PeriodicalId":211570,"journal":{"name":"2021 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FIR Filter Design Method Based on LASSO to Adjust the Number of Non-zero Coefficients\",\"authors\":\"Clemens Klöck\",\"doi\":\"10.1109/CITS52676.2021.9618507\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this document a new FIR filter design algorithm is proposed. The algorithm gives the designer a set of filters which differ in the approximation of the ideal filter characteristic and the number of none-zero elements. The designer can choose a filter based on proposed filter selection criteria which filter is suitable for the tradeoff between approximation as well as processing power and storage capacity.\",\"PeriodicalId\":211570,\"journal\":{\"name\":\"2021 International Conference on Computer, Information and Telecommunication Systems (CITS)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Computer, Information and Telecommunication Systems (CITS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CITS52676.2021.9618507\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computer, Information and Telecommunication Systems (CITS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CITS52676.2021.9618507","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FIR Filter Design Method Based on LASSO to Adjust the Number of Non-zero Coefficients
In this document a new FIR filter design algorithm is proposed. The algorithm gives the designer a set of filters which differ in the approximation of the ideal filter characteristic and the number of none-zero elements. The designer can choose a filter based on proposed filter selection criteria which filter is suitable for the tradeoff between approximation as well as processing power and storage capacity.
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