DocumentCode :
390461
Title :
Fast stabilized adaptive algorithm with parallel block structure for a single sinusoidal detection
Author :
Benjangkaprasert, C. ; Teerasakworakun, S. ; Janchitrapongvej, K. ; Takahashi, N.
Author_Institution :
Res. Center for Commun. & Inf. Technol., King Mongkut´´s Inst. of Technol., Bangkok, Thailand
Volume :
1
fYear :
2002
fDate :
26-30 Aug. 2002
Firstpage :
309
Abstract :
This paper proposes a new implementation of adaptive noise canceller with parallel block structure, aiming to raise the processing and convergence rates and to stabilize the characteristics after the convergence. The procedure is as follows 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, a new algorithm for adaptive Q-factor control with parallel block structure is proposed to improve the convergence characteristics. In addition, the characteristics after the convergence of the filter is stabilized by using the normalized gradient algorithm for the adaptive control of the center frequency. Finally, simulation results are given to demonstrate the convergence performance.
Keywords :
Gaussian noise; IIR filters; Q-factor; adaptive control; adaptive filters; adaptive signal detection; band-pass filters; convergence of numerical methods; digital filters; gradient methods; signal denoising; IIR bandpass filter; adaptive Q-factor control; adaptive noise canceller; convergence rate; fast stabilized adaptive algorithm; normalized gradient algorithm; parallel block structure; performance; processing rate; signal generators; single sinusoidal detection; variable center angular frequency; Adaptive algorithm; Adaptive control; Adaptive filters; Band pass filters; Convergence; Frequency; Noise cancellation; Programmable control; Q factor; Signal generators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
Type :
conf
DOI :
10.1109/ICOSP.2002.1181052
Filename :
1181052
Link To Document :
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