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In this paper, we propose a novel seismic
blind deconvolution approach based on the Spearman’s rho in the case of
band-limited seismic data with a low dominant frequency and short data records.
The Spearman’s rho is a measure of the dependence between two continuous random
variables without the influence of the marginal distributions, by which a new
criterion for blind deconvolution is constructed. The optimization program for new
criterion of blind deconvolution is performed by applying Neidell’s wavelet
model to the inverse filter. The noise-free and noisy synthetic data, onshore
seismic trace in the Ordos Basin, and offshore stacked section in the Bohai Bay
Basin examples show good results of the method.