Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ji-Min Ye"'
Autor:
Ji-min Ye1, Xiao-long Zhu2 xlzhu_dau@mail.tsinghua.edu.cn, Xian-da Zhang2 zxd-dau@mail.tsinghua.edu.cn
Publikováno v:
Neural Computation. Aug2004, Vol. 16 Issue 8, p1641-1660. 20p.
Publikováno v:
Signal Processing. 89:333-338
This paper addresses the problem of blind source separation and presents a kind of optimized equivariant adaptive separation via independence (EASI) algorithms. According to the cumulant based approximation to the mutual information contrast function
Publikováno v:
Neural Computation. 18:709-728
In this letter, the problem of blind separation of n independent sources from their m linear instantaneous mixtures is considered. First, a generalized contrast function is defined as a valuable extension of the existing classical and nonsymmetrical
Publikováno v:
Advances in Neural Networks-ISNN 2006 ISBN: 9783540344391
ISNN (1)
ISNN (1)
The natural gradient blind source separation (BSS) algorithm with unknown source number proposed by Cichocki in 1999 is justified in this paper. An new method to detect the redundant separated signals based on structure of separating matrix is propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63353cfc9c905687045d3cb057e43356
https://doi.org/10.1007/11759966_169
https://doi.org/10.1007/11759966_169