Frequency recovery of band-limited seismic data based on sparse spike train deconvolution
Wen‐kai Lu, D. Liu · 2007
An iterative algorithm is presented for the frequency recovery of the band-limited seismic data based on the sparse spike train deconvolution (SSTD) method using the minimum entropy criterion. In this method, we exploit an upper limit nonlinear function to construct a new entropy measure, which is insensitive to the large value. Furthermore, a parameter of the nonlinear function is adopted to control the sparsity of the deconvolved signal. Synthetic data experiments are provided and the results show that this method performs well at low computation time.