Wavelet Based Noise Corrections of Strong Ground Motion Accelerograms: An application to Earthquake discrete time series data Recorded from the 2011 Japan Earthquake

The analysis and design of any structure, subjected to earthquake vibration depends on the processed and denoised ground accelerograms. Filtering and Fourier based processing is the traditional processing technique practiced by the seismic and earthquake research community for the past few decades. In recent years wavelet based processing of accelerograms has attracted the researchers of seismology and earthquake engineering community, to use the wavelet processed accelerograms for further earthquake engineering applications. This article aims in processing the highly noisy accelerograms of the Japan Sendai earthquake of magnitude 9.0. Processing of noisy accelerograms of such high magnitude is challenging and wavelet transform has been succeeded in processing such challenging accelerograms. The three acceleration components of the station IBR 003 is used for this study. The accelerograms are processed and analysed for the determination of its magnitude characteristics at all possible levels of decomposition in wavelet domain.