Please use this identifier to cite or link to this item:
https://dspace.upt.ro/xmlui/handle/123456789/3969Full metadata record
| DC Field | Value | Language |
|---|---|---|
| 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 |
| Appears in Collections: | Articole științifice/Scientific articles | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| BUPT_Art_Szopos_f.pdf | 742.51 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.