@article{oai:kitami-it.repo.nii.ac.jp:00006804,
 author = {SHIRAKAWA, Tatsuo and KAWAMURA, Akira and NAKATSUJI, Takashi},
 journal = {Journal of the Eastern Asia Society for Transportation Studies},
 month = {Sep},
 note = {This study proposes the use of the Second-generation Wavelet Transform (SWT) for pavement preventive maintenance. New wavelet filters in the SWT are biorthogonal wavelet filters containing free parameters. This method is adopted to determine free parameters based on some training signals, which contain the localized road distress. Using free parameters, it is comparatively easier to determine an optimal basis function. Application of the filters to Training signals effectively leads to the detection of the characteristic points of the road surface. SWT was applied to the vertical acceleration of a vehicle on the road surface. When the form of the input data and the studied waveform of a free parameter were similar, a close-up of the output ingredient was taken. When form differed, it was not detected as a feature point. This is considered to be a very important factor when designing WT for use in pavement preventive maintenance., application/pdf},
 pages = {1113--1122},
 title = {Application of the Second Generation Wavelet Transform for Pavement Preventive Maintenance},
 volume = {6},
 year = {2005}
}