Source separation and tracking for time-varying systems
Many situations arise when it is desired to recover from a noisy mixture of data both an estimate of a propagating source signal as well as its angular position. Accordingly, the problem of source separation and tracking for time-varying systems of moving sources is studied. Using techniques borrowe...
| Үндсэн зохиолчид: | , , |
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| Формат: | Journal article |
| Хэвлэсэн: |
2008
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| _version_ | 1826293203693731840 |
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| author | Coviello, C Yoon, P Sibul, L |
| author_facet | Coviello, C Yoon, P Sibul, L |
| author_sort | Coviello, C |
| collection | OXFORD |
| description | Many situations arise when it is desired to recover from a noisy mixture of data both an estimate of a propagating source signal as well as its angular position. Accordingly, the problem of source separation and tracking for time-varying systems of moving sources is studied. Using techniques borrowed from independent component analysis (ICA) and numerical linear algebra, a processing solution is formulated. The ULV decomposition (ULVD), a member of the complete orthogonal decompositions (CODs) family is used to normalize and decorrelate the data. Since the ULVD is known to stably update and downdate with time-varying data, this step is named ULVD adaptive whitening. The ICA-based EASI (equivariant adaptive separation based on independence) algorithm is adapted to provide not only separated sources but direction-of-arrival (DOA) estimates. Developed improvements to this technique are an adaptive filter method for estimating the mixing matrix from the newly estimated signals as well as a simple cross-over detection scheme. Finally, the developed solutions are tested in simulation examples using meaningful performance measures. © 2008 IEEE. |
| first_indexed | 2024-03-07T03:26:29Z |
| format | Journal article |
| id | oxford-uuid:b937fa50-735e-423d-8d4f-a3bb3d1e0da0 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T03:26:29Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | oxford-uuid:b937fa50-735e-423d-8d4f-a3bb3d1e0da02022-03-27T05:01:25ZSource separation and tracking for time-varying systemsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:b937fa50-735e-423d-8d4f-a3bb3d1e0da0Symplectic Elements at Oxford2008Coviello, CYoon, PSibul, LMany situations arise when it is desired to recover from a noisy mixture of data both an estimate of a propagating source signal as well as its angular position. Accordingly, the problem of source separation and tracking for time-varying systems of moving sources is studied. Using techniques borrowed from independent component analysis (ICA) and numerical linear algebra, a processing solution is formulated. The ULV decomposition (ULVD), a member of the complete orthogonal decompositions (CODs) family is used to normalize and decorrelate the data. Since the ULVD is known to stably update and downdate with time-varying data, this step is named ULVD adaptive whitening. The ICA-based EASI (equivariant adaptive separation based on independence) algorithm is adapted to provide not only separated sources but direction-of-arrival (DOA) estimates. Developed improvements to this technique are an adaptive filter method for estimating the mixing matrix from the newly estimated signals as well as a simple cross-over detection scheme. Finally, the developed solutions are tested in simulation examples using meaningful performance measures. © 2008 IEEE. |
| spellingShingle | Coviello, C Yoon, P Sibul, L Source separation and tracking for time-varying systems |
| title | Source separation and tracking for time-varying systems |
| title_full | Source separation and tracking for time-varying systems |
| title_fullStr | Source separation and tracking for time-varying systems |
| title_full_unstemmed | Source separation and tracking for time-varying systems |
| title_short | Source separation and tracking for time-varying systems |
| title_sort | source separation and tracking for time varying systems |
| work_keys_str_mv | AT covielloc sourceseparationandtrackingfortimevaryingsystems AT yoonp sourceseparationandtrackingfortimevaryingsystems AT sibull sourceseparationandtrackingfortimevaryingsystems |