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A Least Absolute Bound Approach to ICA 驴 Application to the MLSP 2006 Competition

机译：ICA驴应用于MLSP 2006竞赛的最小绝对方法

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This paper describes a least absolute bound approach as a way to solve the ICA problems proposed in the 2006 MSLP competition. The least absolute bound is an ICA contrast closely related to the support width measure, which has been already studied for the

机译：本文介绍了一种最小绝对边界方法，作为解决2006年MSLP竞赛中提出的ICA问题的一种方法。最小绝对边界是与支撑宽度度量密切相关的ICA对比度，已经针对

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来源
《Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland 》||P.41-46|共6页
会议地点 MaynoothIreland
作者
Lee; J.A.; Vrins; F.; Verleysen; M.;
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原文格式 PDF
正文语种 eng
中图分类工业技术 ;
关键词
blind source separation; independent component analysis; minimisation; MLSP 2006 competition; bounded sources blind extraction; deflation algorithm; independent component analysis; least absolute bound approach; least absolute bound minimization;

机译：盲源分离;独立成分分析;最小化; MLSP 2006竞赛;有界源盲提取;放气算法;独立成分分析;最小绝对界方法;最小绝对界最小化;

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A Least Absolute Bound Approach to ICA 驴 Application to the MLSP 2006 Competition

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