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

Original scientific paper

Adaptive Filter for Event-Based Signal Extraction

Mladen Antunović
Steven A. Cummer

Full text: english pdf 834 Kb

page 129-135

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Abstract

This paper introduces a new adaptive filter structure for a class of event-based signals corrupted by quasi-periodic noise. The event driven adaptive filter emerges from Widrow's adaptive filter, exploiting specific properties of event-based signals such as unpredictable time appearance and limited time duration. This filter can be used when reference input to Widrow's filter, which essentially has to be correlated to the noise, is unavailable, but is known for a fact that it is quasi-periodic. Experimental tests verify improved filter performance of the proposed solution.

Keywords

adaptive filter; event detection; LMS; quasi-periodic additive noise; RLS; spheric signal

Hrčak ID:

6817

URI

https://hrcak.srce.hr/6817

Publication date:

29.12.2004.

Article data in other languages: croatian

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