Adaptive multiple subtraction: Unification and comparison of matching filters based on the -norm and statistical independence
An adaptive multiple subtraction step is necessary for almost all methods that predict seismic
multiple reflected waves. We aim at giving a better understanding of matching filters based …
multiple reflected waves. We aim at giving a better understanding of matching filters based …
Signal separation in convolutive mixtures: contributions to blind separation of sparse sources and adaptive subtraction of seismic multiples
YM Batany - 2016 - pastel.hal.science
The recovery of correlated signals from their linear combinations is a challenging task and
has many applications in signal processing. We focus on two problems that are the blind …
has many applications in signal processing. We focus on two problems that are the blind …
Comparison of Matching Filters for Adaptive Multiple Subtraction-Lq-norm versus Statistical Independence
Multiple attenuation is crucial for improving the quality of seismic images. An adaptive
multiple subtraction step is necessary for almost all the methods predicting seismic multiple …
multiple subtraction step is necessary for almost all the methods predicting seismic multiple …
Multimodel Adaptive Subtraction and Its Application to Multimeasurement Data Acquired in Shallow-water Surveys
Many existing adaptive subtraction methods can be formulated as a parameter estimation
problem and all of them, although fundamentally different, have a common restriction that …
problem and all of them, although fundamentally different, have a common restriction that …