Title :
Improved MSE analysis of a gradient algorithm for an adaptive IIR notch filter
Author :
Mvuma, Aloys ; Hinamoto, Takao ; Nishimura, Shotaro
Author_Institution :
Graduate Sch. of Eng., Hiroshima Univ., Higashi-Hiroshima
Abstract :
In this paper, we present an improved technique for MSE analysis of a GA for a second-order adaptive IIR notch filter. An expression for the MSE of the variable coefficient is derived by accurately approximating the power spectral density (PSD) of its steady-state fluctuation about the mean value. Accuracy of the expression is compared with expressions derived from previously proposed techniques. Simulation results are presented to substantiate the validity of the analysis
Keywords :
IIR filters; adaptive filters; gradient methods; mean square error methods; notch filters; adaptive IIR notch filter; gradient algorithm; improved MSE analysis; power spectral density; steady-state fluctuation; variable coefficient; Adaptive filters; Algorithm design and analysis; Analytical models; Error analysis; Finite impulse response filter; Frequency; IIR filters; Matched filters; Signal processing algorithms; Steady-state;
Conference_Titel :
Circuits and Systems, 2003 IEEE 46th Midwest Symposium on
Conference_Location :
Cairo
Print_ISBN :
0-7803-8294-3
DOI :
10.1109/MWSCAS.2003.1562398
