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Obtaining estimates of the low-frequency 'fing', nstrument tilts and displacement timeseries using wavelet decomposition

This paper presents a novel, un-decimated, wavelet transform based algorithm, which make recovery of the displacement fling-step possible after integration from strong-motion data. The novelty of this method is that it recovers the low-frequency acceleration and velocity pulses in the early part of the time series and then integrates to the displacement fling-step, all hitherto not achievable. These strong-motion pulses and fling-steps can cause damage to buildings and in the past the form, shape and effects of these low-frequency characteristics could only be simulated. The paper uses the recorded accelerometer data from station TCU068, Chi-Chi (1999) earthquake event in Taiwan.