A Gauss-Newton method for blind source separation of convolutive mixtures

被引：0
|
作者：
Cruces, S [1 ]
Castedo, L [1 ]
机构：
[1] Univ Sevilla, ESI Telecomunicac, TSC Grp, Seville 41092, Spain
来源：
PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-6 | 1998年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper we present several Gauss-Newton algorithms for blind source separation of convolutive mixtures. The algorithms can be interpreted as generalizations of two previous approaches due to Gerven-Compernolle [7] and Nguyen-Jutten [5]. Since they are of the Gauss-Newton type, they exhibit a fast rate of convergence. Also, we present a stability analysis for two sources and instantaneous mixtures where we show that the algorithms cannot converge to non-separating solutions.
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页码：2093 / 2096
页数：4
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