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| dc.contributor.author | Szopos, Erwin | |
| dc.contributor.author | Toma, Norbert | |
| dc.contributor.author | Ţopa, Marina | |
| dc.date.accessioned | 2021-11-22T09:58:30Z | |
| dc.date.available | 2021-11-22T09:58:30Z | |
| dc.date.issued | 2004 | |
| dc.identifier.citation | Szopos, Erwin. Adaptive filtering algorithms. Timişoara: Editura Politehnica, 2004 | en_US |
| dc.identifier.uri | http://primo.upt.ro:1701/primo-explore/fulldisplay?docid=40TUT000137773&context=L&vid=40TUT_V1&lang=ro_RO&search_scope=40TUT&adaptor=Local%20Search%20Engine&tab=default_tab&query=any,contains,Adaptive%20filtering%20algorithms&sortby=rank&offset=0 Link Primo | |
| dc.description.abstract | The paper presents some efficient algorithms for adaptive filtering: Wiener filter, Least Mean Square (LMS) algorithm, Kalman algorithm. These are used in several applications such as: echo canceller on telephone lines, enclosure noise canceller, adaptive equalization etc. The above-mentioned algorithms were implemented using the virtual instrumentation program LabVIEW, and Simulink, respectively. Experiments were carried out and their utility, limits and efficiency are demonstrated on different types of signals (Sine wave, audio signals). | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Timişoara : Editura Politehnica | en_US |
| dc.relation.ispartofseries | Seria electronică şi telecomunicaţii, Tom 49(63), fasc. 2 (2004) | |
| dc.subject | Wiener filters | en_US |
| dc.subject | Wiener filters | en_US |
| dc.subject | Performance area | en_US |
| dc.subject | Steepest descent | en_US |
| dc.subject | Convergence | en_US |
| dc.subject | Kalman filter | en_US |
| dc.title | Adaptive filtering algorithms [articol] | en_US |
| dc.type | Article | en_US |
