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Typical sources of gravitational wave bursts are supernovae, for which noaccurate models exist. This calls for search methods with high efficiency androbustness to be used in the data analysis of foreseen interferometricdetectors. A set of such filters is designed to detect gravitational wave burstsignals. We first present filters based on the linear fit of whitened data toshort straight lines in a given time window and combine them in a non linearfilter named ALF. We study the performances and efficiencies of these filters,with the help of a catalogue of simulated supernova signals.  The ALF filter is the most performant and most efficient of all filters. Itsperformance reaches about 80% of the Optimal Filter performance designed forthe same signals. Such a filter could be implemented as an online trigger(dedicated to detect bursts of unknown waveform) in interferometric detectorsof gravitational waves.Comment: 14 pages, 9 figure

Efficient filter for detecting gravitational wave bursts in interferometric detectors