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Sub-Band Anomaly Detection

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Uploaded by on Aug 31, 2007

As presented at MWSCAS/NEWCAS 2007, shown here is minor anomaly detection in an acoustic signal. Sucessive transformation of random variable resulted in a Teager energy outlier detection scheme in wavelet-filtered sub-bands. The red areas indicate where the total energy (potential & kinetic) deviated significantly when compared with the analysis window. The lower waveforms show four of eight wavelet decomposition levels with bandwidths and centering that reflect the dyadic sampling scheme.

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Uploader Comments (johnsalik)

  • huh?

  • The system detects unspecified anomalies. For example, if set up to monitor a room with people talking, and there is a sound that does not belong, such as a glass breaking, the system will detect it. It can also be used to monitor machines. This video, while public, was intended for a much smaller, private audience.

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  • what the hell is that

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