Utilizaţi acest identificator pentru a cita sau a face link la acest document: https://dspace.upt.ro/xmlui/handle/123456789/3969
Titlu: Adaptive filtering algorithms [articol]
Autori: Szopos, Erwin
Toma, Norbert
Ţopa, Marina
Subiecte: Wiener filters
Wiener filters
Performance area
Steepest descent
Convergence
Kalman filter
Data publicării: 2004
Editura: Timişoara : Editura Politehnica
Citare: Szopos, Erwin. Adaptive filtering algorithms. Timişoara: Editura Politehnica, 2004
Serie/Nr. raport: Seria electronică şi telecomunicaţii, Tom 49(63), fasc. 2 (2004)
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).
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
Colecţia:Articole științifice/Scientific articles

Fişierele documentului:
Fişier Descriere MărimeFormat 
BUPT_Art_Szopos_f.pdf742.51 kBAdobe PDFVizualizare/Deschidere


Documentele din DSpace sunt protejate de legea dreptului de autor, cu toate drepturile rezervate, mai puţin cele indicate în mod explicit.