Stabilized Fast Adaptive High-Speed Noise Canceller with Parallel Block Structure

Chawalit BENJANGKAPRASERT, Nobuaki TAKAHASHI, Tsuyoshi TAKEBE

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Summary :

This paper proposes a new implementation of an adaptive noise canceller based upon a parallel block structure, which aims to raise the processing and convergence rates and to improve the steady-state performance. 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 characteristic. In addition, the steady-state performance of the filter is stabilized by using the variable step size parameter in adaptive control of the center frequency and the speed up of the convergence rate is achieved by adopting a normalized gradient algorithm for adaptive control. Finally, simulation results are given to demonstrate the convergence performance.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E87-A No.8 pp.1965-1972
Publication Date
2004/08/01
Publicized
Online ISSN
DOI
Type of Manuscript
Special Section PAPER (Special Section on Digital Signal Processing)
Category
Adaptive Signal Processing

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