Underdetermined blind source separation based on null-space representation and maximum likelihood
Aiming to the estimation of source numbers,mixing mat ix and source signals under underdetermined case,and a method of underdetermined blind source separation with an unknown number of sources was proposed.Firstly,an algorithm based on S transforms and clustering technology was introduced to estimat...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2012-03-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)03-0183-08/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841539905710194688 |
|---|---|
| author | Rong-jie WANG Yi-ju ZHAN Hai-feng ZHOU |
| author_facet | Rong-jie WANG Yi-ju ZHAN Hai-feng ZHOU |
| author_sort | Rong-jie WANG |
| collection | DOAJ |
| description | Aiming to the estimation of source numbers,mixing mat ix and source signals under underdetermined case,and a method of underdetermined blind source separation with an unknown number of sources was proposed.Firstly,an algorithm based on S transforms and clustering technology was introduced to estimate the number of sources and mixing mixtures.Then sources were represented as null space form,the recovery of source signals usi a method based on maximum likelihood.The simulation results show that the proposed method can separate sources of super-Gaussian distribution and sub-Gaussian distribution,and compared to other conventional algorithms,estimated mixing matrix and separated sources with higher accuracy. |
| format | Article |
| id | doaj-art-706effe0e1c14a5fbe9d13b9f7af2810 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2012-03-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-706effe0e1c14a5fbe9d13b9f7af28102025-01-14T06:31:33ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-03-013318319059661172Underdetermined blind source separation based on null-space representation and maximum likelihoodRong-jie WANGYi-ju ZHANHai-feng ZHOUAiming to the estimation of source numbers,mixing mat ix and source signals under underdetermined case,and a method of underdetermined blind source separation with an unknown number of sources was proposed.Firstly,an algorithm based on S transforms and clustering technology was introduced to estimate the number of sources and mixing mixtures.Then sources were represented as null space form,the recovery of source signals usi a method based on maximum likelihood.The simulation results show that the proposed method can separate sources of super-Gaussian distribution and sub-Gaussian distribution,and compared to other conventional algorithms,estimated mixing matrix and separated sources with higher accuracy.http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)03-0183-08/underdetermined blind source separationS transformsfuzzy c-mean clusteringnull-space representationmaximum likelihood |
| spellingShingle | Rong-jie WANG Yi-ju ZHAN Hai-feng ZHOU Underdetermined blind source separation based on null-space representation and maximum likelihood Tongxin xuebao underdetermined blind source separation S transforms fuzzy c-mean clustering null-space representation maximum likelihood |
| title | Underdetermined blind source separation based on null-space representation and maximum likelihood |
| title_full | Underdetermined blind source separation based on null-space representation and maximum likelihood |
| title_fullStr | Underdetermined blind source separation based on null-space representation and maximum likelihood |
| title_full_unstemmed | Underdetermined blind source separation based on null-space representation and maximum likelihood |
| title_short | Underdetermined blind source separation based on null-space representation and maximum likelihood |
| title_sort | underdetermined blind source separation based on null space representation and maximum likelihood |
| topic | underdetermined blind source separation S transforms fuzzy c-mean clustering null-space representation maximum likelihood |
| url | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)03-0183-08/ |
| work_keys_str_mv | AT rongjiewang underdeterminedblindsourceseparationbasedonnullspacerepresentationandmaximumlikelihood AT yijuzhan underdeterminedblindsourceseparationbasedonnullspacerepresentationandmaximumlikelihood AT haifengzhou underdeterminedblindsourceseparationbasedonnullspacerepresentationandmaximumlikelihood |