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Matlab scripts to implement the Shahi and Baker (2012) multi-component pulse classification algorithm

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Pulse classification algorithm

This set of Matlab scripts and functions implements the Shahi and Baker (2012) multi-component pulse classification algorithm.

Contents

classify_record_main : This scripts is the one that calls other functions to classify a ground motion as a pulse/non-pulse and then compute the Ipulse and Tp values.

classification_algo.m : This defines the function that selects the prospective pulses for classification

analyze_record.m : This defines the main classification function that classified each prospective pulse

find_Ipulse.m : Defines the function to find if the ground motion is classified as pulse-like or non-pulse-like

find_Tp.m : Defines the function to compute the pulse period. Outputs -999 if the ground motion is non-pulse.

make_plot.m : Defines the function to make a plot showing the velocity time-history of the original ground motion (in the orientation from which pulse was extracted), the extracted pulse and the residual ground-motion.

cont_wavelet_trans.m : This funtion is used to perform the continuous wavelet transform

parseAT2.m : This function parses the NGA West2 AT2 files.

example1.AT2 , example2.AT2 : Example time-histories (recorded components of the Imperial Valley(1979) El centro Array #4 recording) used for demonstration.

References

Shahi S.K., and Baker J.W. (2013). "An efficient algorithm to identify strong velocity pulses in multi-component ground-motions". Bulletin of the Seismological Society of America (under review)

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Matlab scripts to implement the Shahi and Baker (2012) multi-component pulse classification algorithm

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