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

Many practical time series, including pressure signals measured on roof-cor ners of low-rise buildings in quartering winds, consist of relatively quies cent periods interrupted by intermittent transients. The dyadic wavelet tra nsform is used to detect these transients in pressure time series and a rel atively simple pattern classification scheme is used to detect underlying s tructure 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 anal yzed.