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In this job we have introduced a filtered adaptive technique that allowshighlighting selective seismic events according to its polarization. Thistechnique consists in the implementation of a polarizing filter based on theSingle Value Decomposition (SVD). The SVD have a great variety of applicationin the processing of signals and images, in this case a seismic reading isconsidered an image of the underground. With this technique, was achieved tomake a reconstruction of the seismic image generated after the two firstautoimages reproduce the polarization attributes (rectilinearity and planarity)of the moving particles, suppress the high frequency random sound, improve thesignal-noise ratio and this way we were able to obtain a clear and coherentimage of the associated seismic events to the primary energies of reflection.

Implementaci\'on de un Filtro de Polarizaci\'on basado en la Descomposici\'on del Valor Singular (SVD)