Title :
An IIR ALE based on constrained FIR filter
Author :
Okello, James ; Ueda, Kenji ; Itoh, Yoshio ; Ochi, Hiroshi
Author_Institution :
Fac. of Inf. Eng., Kyushu Inst. of Technol., Fukuoka, Japan
Abstract :
In this paper, we propose an adaptive algorithm for an adaptive line enhancer (ALE). The two constraints that are considered are the unit norm constraint and zeros constraint. By incorporating these two constrains, we show that the effect of a white disturbance signal on the convergence of the ALE is eliminated in the mean sense. Furthermore, by introducing a control mechanism, the stability and convergence of the system is guaranteed even if there is a sudden change in the frequency of the input sinusoidal signal. Simulation results that are presented verify these properties.
Keywords :
FIR filters; IIR filters; adaptive filters; numerical stability; poles and zeros; ALE; IIR filter; adaptive algorithm; adaptive line enhancer; constrained FIR filter; control mechanism; convergence; stability; unit norm constraint; white disturbance signal; zeros constraint; Adaptive filters; Band pass filters; Convergence; Digital signal processing; Filtering theory; Finite impulse response filter; Frequency shift keying; IIR filters; Line enhancers; Narrowband;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1181045