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Wavelet-based detection and classification of roof-corner pressure transients

  • Pettit, Chris L. (Air Force Research Laboratory, Wright-Patterson AFB) ;
  • Jones, Nicholas P. (Department of Civil Engineering, The Johns Hopkins University) ;
  • Ghanem, Roger (Department of Civil Engineering, The Johns Hopkins University)
  • 발행 : 2000.09.25

초록

Many practical time series, including pressure signals measured on roof-corners of low-rise buildings in quartering winds, consist of relatively quiescent periods interrupted by intermittent transients. The dyadic wavelet transform is used to detect these transients in pressure time series and a relatively simple pattern classification scheme is used to detect underlying structure in these transients. Statistical analysis of the resulting pattern classes yields a library of signal "building blocks", which are useful for detailed characterization of transients inherent to the signals being analyzed.

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참고문헌

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피인용 문헌

  1. Detection and simulation of roof-corner pressure transients vol.90, pp.3, 2002, https://doi.org/10.1016/S0167-6105(01)00192-1