The problem of structured noise suppression is addressed by i)modelling the subspaces hosting the components of the signal conveying the information and ii)applying a nonlin- ear non-extensive technique for effecting the right separation. Although the approach is applicable to all situations satisfying the hypothesis of the proposed framework, this work is motivated by a particular scenario, namely, the cancellation of low frequency noise in broadband seismic signals.
Bibliographical noteNOTICE: this is the author’s version of a work that was accepted for publication in Physica A. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Xu, Zhiqiang; Laura , Rebollo-Neira and Plastino, A. Subspace modelling for structured noise suppression. Physica A: Statistical Mechanics and its Applications, 389, 10, (2010) DOI: 10.1016/j.physa.2010.01.031
- nonlinear non-extensive approach
- adaptive spline space
- structured noise suppression
- cancellation of infragravity waves in seismic signals