M. Lee, Ju Yong Park, Myong Won Kwon, Seung-Rae Lee
{"title":"The reverse jacket matrix of weighted Hadamard transform for multidimensional signal processing","authors":"M. Lee, Ju Yong Park, Myong Won Kwon, Seung-Rae Lee","doi":"10.1109/PIMRC.1996.567441","DOIUrl":null,"url":null,"abstract":"The class of reverse jacket matrices (~RJ\\/sub N/) is defined; the main property of ~RJ\\/sub N/ is that the inverse matrices of its elements can be obtained very easily and have a recursive structure. ~RJ\\/sub N/ is a generalized form of the weighted Hadamard transform. Each element of ~RJ\\/sub N/ can be used to the subsampling matrix. These matrices can be further used to develop efficient algorithms in PCS signal processing as well as in coding and information theory.","PeriodicalId":206655,"journal":{"name":"Proceedings of PIMRC '96 - 7th International Symposium on Personal, Indoor, and Mobile Communications","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of PIMRC '96 - 7th International Symposium on Personal, Indoor, and Mobile Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIMRC.1996.567441","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The class of reverse jacket matrices (~RJ\/sub N/) is defined; the main property of ~RJ\/sub N/ is that the inverse matrices of its elements can be obtained very easily and have a recursive structure. ~RJ\/sub N/ is a generalized form of the weighted Hadamard transform. Each element of ~RJ\/sub N/ can be used to the subsampling matrix. These matrices can be further used to develop efficient algorithms in PCS signal processing as well as in coding and information theory.