A PARTITIONED FREQUENCY DOMAIN ALGORITHM FOR CONVOLUTIVE BLIND SOURCE SEPARATION

被引：0
|
作者：
Scarpiniti, Michele [1 ]
Picaro, Andrea [1 ]
Parisi, Raffaele [1 ]
Uncini, Aurelio [1 ]
机构：
[1] Univ Roma La Sapienza, Infocom Dept, I-00184 Rome, Italy
来源：
2009 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING | 2009年
关键词：
MIXTURES;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of this paper is to introduce a blind source separation algorithm in reverberant environment, usually characterized by long impulsive responses. In order to reduce the computational complexity of this kind of algorithms a partitioned frequency domain approach is proposed by partitioning the demixing filter in an optimal number of sub-filters. Several experimental results are shown to demonstrate the effectiveness of the proposed method.
引用
收藏
页码：411 / 416
页数：6
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