Burst gravitational waves from stellar-core collapses are one of the promising targets for ground-based interferometric detectors.However,search for their signals in detector output is not easy because their waveforms are not predicted precisely,and thus signals are largely affected by non-Gaussian noises of the detector.Thus,we developed a robust and effective scheme to reject non-Gaussian noises and to extract burst signals.In this method,non-Gaussian noises are distinguished from real gravitational-wave signals by time scales,and are rejected with small false dismissal rate for real signals.We will present this data analysis method and the analysis results using over 2000 hours of data obtained with TAMA300 gravitational wave detector;false alarm rate was improved by 103 times with this non-Gaussian noise evaluation and rejection method.
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