Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/3969
Title: Adaptive filtering algorithms [articol]
Authors: Szopos, Erwin
Toma, Norbert
Ţopa, Marina
Subjects: Wiener filters
Wiener filters
Performance area
Steepest descent
Convergence
Kalman filter
Issue Date: 2004
Publisher: Timişoara : Editura Politehnica
Citation: Szopos, Erwin. Adaptive filtering algorithms. Timişoara: Editura Politehnica, 2004
Series/Report no.: 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://localhost:8080/xmlui/handle/123456789/3969
Appears in Collections:Articole stiintifice/Scientific articles

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