A Modified JadeR for Signal Separation under Gaussian Noise
A Modified version of Joint Approximation Diagonalization Estimation of Real Signals algorithm (JADER) is proposed to enhance efficiency and speed of Blind Signal Separation (BSS). MJADER based on the mixture's dimensions minimization step, where the cumulant matrices have been estimated using...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Faculty of Computer Science and Mathematics, University of Kufa
2019-01-01
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| Series: | Journal of Kufa for Mathematics and Computer |
| Subjects: | |
| Online Access: | https://journal.uokufa.edu.iq/index.php/jkmc/article/view/2086 |
| _version_ | 1797266964073152512 |
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| author | Muna H. Fatnan Zahir M. Hussain Hind R. Mohammed |
| author_facet | Muna H. Fatnan Zahir M. Hussain Hind R. Mohammed |
| author_sort | Muna H. Fatnan |
| collection | DOAJ |
| description | A Modified version of Joint Approximation Diagonalization Estimation of Real Signals algorithm (JADER) is proposed to enhance efficiency and speed of Blind Signal Separation (BSS). MJADER based on the mixture's dimensions minimization step, where the cumulant matrices have been estimated using a reduced-dimension observed mixture. The approach (M-JADER) is based on a threshold step, it is easy to implement, computationally efficient and faster than standard JADER about 50% where it has less running time. The comparison done under tow types of niose(semi-white Gaussian noise and Uniform noise) |
| first_indexed | 2024-04-25T01:09:03Z |
| format | Article |
| id | doaj.art-24d6cce92af74269ad4c83c2f5938a0a |
| institution | Directory Open Access Journal |
| issn | 2076-1171 2518-0010 |
| language | English |
| last_indexed | 2024-04-25T01:09:03Z |
| publishDate | 2019-01-01 |
| publisher | Faculty of Computer Science and Mathematics, University of Kufa |
| record_format | Article |
| series | Journal of Kufa for Mathematics and Computer |
| spelling | doaj.art-24d6cce92af74269ad4c83c2f5938a0a2024-03-10T10:25:29ZengFaculty of Computer Science and Mathematics, University of KufaJournal of Kufa for Mathematics and Computer2076-11712518-00102019-01-015310.31642/JoKMC/2018/05030A Modified JadeR for Signal Separation under Gaussian NoiseMuna H. FatnanZahir M. Hussain0Hind R. Mohammed1University of KufaUniversity of KufaA Modified version of Joint Approximation Diagonalization Estimation of Real Signals algorithm (JADER) is proposed to enhance efficiency and speed of Blind Signal Separation (BSS). MJADER based on the mixture's dimensions minimization step, where the cumulant matrices have been estimated using a reduced-dimension observed mixture. The approach (M-JADER) is based on a threshold step, it is easy to implement, computationally efficient and faster than standard JADER about 50% where it has less running time. The comparison done under tow types of niose(semi-white Gaussian noise and Uniform noise)https://journal.uokufa.edu.iq/index.php/jkmc/article/view/2086Joint Approximation DiagonalizationJadeRBlind Source Separation BSS. |
| spellingShingle | Muna H. Fatnan Zahir M. Hussain Hind R. Mohammed A Modified JadeR for Signal Separation under Gaussian Noise Journal of Kufa for Mathematics and Computer Joint Approximation Diagonalization JadeR Blind Source Separation BSS. |
| title | A Modified JadeR for Signal Separation under Gaussian Noise |
| title_full | A Modified JadeR for Signal Separation under Gaussian Noise |
| title_fullStr | A Modified JadeR for Signal Separation under Gaussian Noise |
| title_full_unstemmed | A Modified JadeR for Signal Separation under Gaussian Noise |
| title_short | A Modified JadeR for Signal Separation under Gaussian Noise |
| title_sort | modified jader for signal separation under gaussian noise |
| topic | Joint Approximation Diagonalization JadeR Blind Source Separation BSS. |
| url | https://journal.uokufa.edu.iq/index.php/jkmc/article/view/2086 |
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