{"title":"Arbitrarily variable 2-D filter design and high-speed parallel implementation","authors":"T. Deng","doi":"10.1109/ADFSP.1998.685712","DOIUrl":null,"url":null,"abstract":"Frequency transformation-based methods cannot design variable 2-D filters with arbitrarily variable frequency responses. To solve this problem, this paper proposes a linear approach. The new method assumes the variable filter coefficients to be the multi-dimensional (M-D) polynomials of spectral parameters. Then a linear method is proposed for finding the optimal coefficients of the M-D polynomials. Also, the paper shows that the resulting variable 2-D filters can be implemented in parallel form for high-speed signal processing.","PeriodicalId":424855,"journal":{"name":"1998 IEEE Symposium on Advances in Digital Filtering and Signal Processing. Symposium Proceedings (Cat. No.98EX185)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 IEEE Symposium on Advances in Digital Filtering and Signal Processing. Symposium Proceedings (Cat. No.98EX185)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ADFSP.1998.685712","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
Frequency transformation-based methods cannot design variable 2-D filters with arbitrarily variable frequency responses. To solve this problem, this paper proposes a linear approach. The new method assumes the variable filter coefficients to be the multi-dimensional (M-D) polynomials of spectral parameters. Then a linear method is proposed for finding the optimal coefficients of the M-D polynomials. Also, the paper shows that the resulting variable 2-D filters can be implemented in parallel form for high-speed signal processing.