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Automatika : journal for control, measurement, electronics, computing and communications, Vol. 45. No. 3-4, 2004.

Original scientific paper

Adaptive System for Engine Noise Cancellation in Mobile Communications

Georgi Iliev
Karen Egiazarian

Full text: english pdf 1.275 Kb

page 137-143

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Abstract

An adaptive system, which provides engine noise cancellation for hands-free cellular phones is developed. The system employs a cascade of three second-order adaptive notch/bandpass filters based on Gray-Markel lattice structure. This structure defines the high stability of the adaptive system. A Newton type algorithm is used for updating the filter coefficients that determines fast adaptation. In addition a new algorithm using adaptive filtering with averaging (AFA) is developed. The main advantages of AFA algorithm could be summarized as follows: high convergence rate comparable to that of the recursive least squares (RLS) algorithm and at the same time low computational complexity. The presented adaptive system for engine noise cancellation could improve considerably the speech intelligibility of hands-free cellular phones.

Keywords

adaptive algorithms; digital filters; noise reduction

Hrčak ID:

6818

URI

https://hrcak.srce.hr/6818

Publication date:

29.12.2004.

Article data in other languages: croatian

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