A basis pursuit inversion of seismic reflection data for reflection coefficients is introduced as
an alternative method of incorporating a priori information in the seismic inversion process …

Reweighting strategies have been widely used to diminish the influence of outliers in
inverse problems. In a similar fashion, they can be used to design the regularization term …

We present an efficient deconvolution method to retrieve sparse reflectivity series from
seismic data in the presence of additive Gaussian and non-Gaussian noise. The problem is …

We developed a sparse multichannel blind deconvolution (SMBD) method. The method is a
modification of the multichannel blind deconvolution technique often called Euclid …

This introductory book presents procedures for the analysis of signals and the
characterization of systems in civil engineering. The two main topics of this book are at the …

Sparse-spike deconvolution can be viewed as an inverse problem where the locations and
amplitudes of a number of spikes (reflectivity) are estimated from noisy data (seismic traces) …

When improving the Earth's description of seismic data via deconvolution, the spatial
coherency of the information that can be extracted may be damaged through suboptimal …

The present invention provides for a method and apparatus for seismic data processing.
Prestack seismic data is obtained that contains a plurality of reflectors. Non-parallel moveout …

This book is about digital geophysics. Exploration geophysics was the first science to
experience the digital revolution. Digital geophysics was an abrupt departure, of a …

We describe a new algorithm for mixed-phase deconvolution. It is valid only for pulses
whose Z-transform has no zeros on the unit circle. That is, the amplitude spectrum cannot be …