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Performing Spiking and Predictive Deconvolution on 2D Land Data (PSTM)

Mohamed Mhmod, Liu Hai Yan, Liu Cai and Feng Xuan

In this paper we are performing spiking and predictive deconvolution on land 2D data, final (PSTM) data. For spiking deconvolution we are going to test the effect of operator length (operator length with n=operator length (where (n=240, 128, 40, 10) ms), and effect of percent prewhitening (0% and 1%) for each value of n. While for predictive deconvolution we will test effect of operator length ((operator length with n=operator length (where (n=240, 128, 40, 10)) ms) and lag (α=0 ms, α=1ms, α=2ms) for each value of n. The data used in this paper 2d data (PSTM), first we will apply spiking deconvolution on our data, for spiking deconvolution, the Deconvolution which in this case the desired output is zero-lag spike. While for predictive deconvolution, the Deconvolution which in this case the desired output is a lagged version of the input. The later lags are used as the cross-correlation of the input and desired output. The standard equations are solved for the predictive operator. In final comparison for each test were made on our data. The effect of parameters on spiking deconvolution was also published by author Mhmod M.