Blind extraction of underdetermined mixtures via time-frequency mask
For blind source estimation problem of underdetermined and non-completely sparse signals,a novel blind extraction algorithm was proposed.The algorithm combined the non-completely sparse blind extraction algorithm with the DUET approach.It computed firstly the extraction vector of source and the norm...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2012-08-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)08-0077-08/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | For blind source estimation problem of underdetermined and non-completely sparse signals,a novel blind extraction algorithm was proposed.The algorithm combined the non-completely sparse blind extraction algorithm with the DUET approach.It computed firstly the extraction vector of source and the normal vector of source direction,and then renewed the mixtures and the mixing matrix using a linear transform,and recoverd the source using time-frequency mask method finally.Several speech signal experiments demonstrate its performance and practical. |
|---|---|
| ISSN: | 1000-436X |