Title :
Continuously variable step-size adaptive algorithm with parallel block structure for a single sinusoidal detection
Author :
Benjangkaprasert, C. ; Chompoo, S. ; Sangaroon, O. ; Takahashi, N.
Author_Institution :
Dept. of Inf. Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand
Abstract :
In this paper, a new implementation of an adaptive noise canceller based upon a parallel block structure is proposed. The objective is to increase the processing and convergence rates and to improve the steady-state performance. First, an IIR bandpass filter with a variable center angular frequency using adaptive Q-factor control and two adaptive control signal generators are realized by the parallel block structure. Secondly, an algorithm for adaptive Q-factor control with parallel block structure is proposed to improve the convergence characteristic. Furthermore, by using the normalized transfer function and the continuously variable step-size parameter for adaptive control of the center frequency to stabilize the steady-state performance of the filter. Finally, simulation results are given to demonstrate the convergence performance.
Keywords :
IIR filters; Q-factor; adaptive control; adaptive signal detection; band-pass filters; convergence; frequency control; signal denoising; signal generators; transfer functions; IIR bandpass filter; adaptive Q-factor control; adaptive control signal generators; adaptive noise canceller; convergence performance; frequency adaptive control; parallel block structure; single sinusoidal detection; steady-state performance stability; variable center angular frequency; variable step-size adaptive algorithm; variable step-size parameter; Adaptive algorithm; Adaptive control; Band pass filters; Convergence; Frequency; Noise cancellation; Programmable control; Q factor; Signal generators; Steady-state;
Conference_Titel :
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN :
0-7803-8560-8
DOI :
10.1109/TENCON.2004.1414462