Title :
System identification with adaptive algorithms
Author :
Szopos, Erwin ; Topa, Marina ; Toma, Norbert
Author_Institution :
Technical Univ., Cluj-Napoca, Romania
Abstract :
The paper presents the adaptive LMS algorithm used for system identification. The unknown system is modeled by a FIR filter. After the presentation of the theoretical approach, simulations in Labview and Matlab are provided showing the performance of the method.
Keywords :
Wiener filters; adaptive filters; convergence of numerical methods; identification; least mean squares methods; FIR filter; Winer filter; adaptive LMS algorithm; convergence; mean square error; system identification; Adaptive algorithm; Adaptive filters; Finite impulse response filter; Least squares approximation; Mathematical model; Mean square error methods; Optimized production technology; Signal processing algorithms; System identification; Wiener filter; LMS; Wiener filter; convergence; mean square error; system identification;
Conference_Titel :
Emerging Technologies: Circuits and Systems for 4G Mobile Wireless Communications, 2005. ETW '05. 2005 IEEE 7th CAS Symposium on
Print_ISBN :
5-7422-0895-2
DOI :
10.1109/EMRTW.2005.195681
