Application of Blind-Signal-Processing Algorithm in Image Separation - Blind-Signal-Processing in Image Separation

Chuen-Yau Chen, Cheng-Yuan Lin, Wei-Ching Liu, Yen-Ting Chen
{"title":"Application of Blind-Signal-Processing Algorithm in Image Separation - Blind-Signal-Processing in Image Separation","authors":"Chuen-Yau Chen, Cheng-Yuan Lin, Wei-Ching Liu, Yen-Ting Chen","doi":"10.1109/ISOCC47750.2019.9078531","DOIUrl":null,"url":null,"abstract":"We take advantage of the relative gradient method and the bound component analysis algorithm to propose the relativegradient bound component analysis algorithm in this paper. This algorithm does not need to compute the inverse matrix and the covariance matrix. It can succesfully separate the mixed pictures without whitening. The time complexity and the space complexity of this algorithm are both lower than those of the original bound component analysis algorithm.","PeriodicalId":113802,"journal":{"name":"2019 International SoC Design Conference (ISOCC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International SoC Design Conference (ISOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOCC47750.2019.9078531","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

We take advantage of the relative gradient method and the bound component analysis algorithm to propose the relativegradient bound component analysis algorithm in this paper. This algorithm does not need to compute the inverse matrix and the covariance matrix. It can succesfully separate the mixed pictures without whitening. The time complexity and the space complexity of this algorithm are both lower than those of the original bound component analysis algorithm.
盲信号处理算法在图像分离中的应用——图像分离中的盲信号处理
本文利用相对梯度法和界分量分析算法,提出了相对梯度界分量分析算法。该算法不需要计算逆矩阵和协方差矩阵。它可以成功地分离混合图像而不产生白化。该算法的时间复杂度和空间复杂度均低于原有的边界分量分析算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信