| 000 | 01298nam a2200277 a 4500 | ||
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| 003 | EG-GiCUC | ||
| 005 | 20250223025955.0 | ||
| 008 | 091203s2009 ua d f m 000 0 eng d | ||
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_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aGift | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.34.M.Sc.2009.Am.J | ||
| 100 | 0 | _aAmeirah Abouazama | |
| 245 | 1 | 0 |
_aJoint compressive sensing using highly correlated audio signals / _cAmeirah Abouazama ; Supervised Marc Ihle |
| 260 |
_aCairo : _bAmeirah Abouazama , _c2009 |
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| 300 |
_a44 Leaves : _bcharts ; _c30cm |
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| 502 | _aThesis (M.Sc.) - German University - Faculty of Postgraduate Studies and Scientific Research - Department of Media Engineering and Technology | ||
| 520 | _aCompressive sensing is a new research topic that has infiltrated into many fields of science and is gaining repute. This is due to its extraordinary capabilities in sparse signal recovery, and its universal application. One area in particular which has had minimal exposure to compressive sensing is audio signals, and even more so for highly correlated multi-channel audio | ||
| 700 | 0 |
_aMarc Ihle , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 902 | _a1 | ||
| 905 |
_aNazla _eRevisor |
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| 905 |
_aSamia _eCataloger |
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_2ddc _cTH |
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_c24690 _d24690 |
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