{"title":"Fast multi-polarity complex Hadamard transform for logic functions","authors":"B. Falkowski","doi":"10.1109/ISMVL.1998.679332","DOIUrl":null,"url":null,"abstract":"A new formulation of Fast Multi-Polarity Complex Hadamard Transform has been introduced. Forward and inverse transformation kernels and the ways of recursive generation of transform matrices by using Kronecker products of elementary matrices have been given. Mutual relations among transform matrices and spectra for arbitrary polarities have been presented. Efficient ways of calculating spectra for logic functions through decision diagrams are also shown. Half-spectrum property is used to reduce the computational requirements for both fast transforms and decision diagrams based calculations.","PeriodicalId":377860,"journal":{"name":"Proceedings. 1998 28th IEEE International Symposium on Multiple- Valued Logic (Cat. No.98CB36138)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 1998 28th IEEE International Symposium on Multiple- Valued Logic (Cat. No.98CB36138)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMVL.1998.679332","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
A new formulation of Fast Multi-Polarity Complex Hadamard Transform has been introduced. Forward and inverse transformation kernels and the ways of recursive generation of transform matrices by using Kronecker products of elementary matrices have been given. Mutual relations among transform matrices and spectra for arbitrary polarities have been presented. Efficient ways of calculating spectra for logic functions through decision diagrams are also shown. Half-spectrum property is used to reduce the computational requirements for both fast transforms and decision diagrams based calculations.