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In this paper, a modified blind deconvolution eigenvector approach based on higher order of statistic has been proposed. The given technique is to process the seismogram with poor SNR, dominant by the convolution noise. Seismogram is the output of a mixed phase source wavelet driven by the non Gaussian input signal in presence of additive Gaussian, color Gaussian noise. Existing HOS based techniques...
Discrete wavelet transform is an effective tool to disintegrate the time variant seismic data in time-frequency manner. This work incorporates the wavelet transform in the blind deconvolution technique to deal with the inherent non-stationarity present in seismic data and to improve the SNR of seismic data. Time varying nature of seismic data is the result of a depth varying character of seismic source...
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