Izvorni znanstveni članak
Adaptive Filter for Event-Based Signal Extraction
Mladen Antunović
Steven A. Cummer
Sažetak
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.
Ključne riječi
adaptive filter; event detection; LMS; quasi-periodic additive noise; RLS; spheric signal
Hrčak ID:
6817
URI
Datum izdavanja:
29.12.2004.
Posjeta: 2.184 *