Loading [a11y]/accessibility-menu.js
Blind Separation of complex-valued mixtures: Sparse representation in polar and cartesian scatter-plots | IEEE Conference Publication | IEEE Xplore

Blind Separation of complex-valued mixtures: Sparse representation in polar and cartesian scatter-plots


Abstract:

This study is concerned with reconstruction of complex-valued components comprising a linear mixing model of unknown real-valued sources, given a set of their complex-val...Show More

Abstract:

This study is concerned with reconstruction of complex-valued components comprising a linear mixing model of unknown real-valued sources, given a set of their complex-valued mixtures. We adopt previous results in the area of Blind Source Separation (BSS) of linear mixtures, based on sparse representation by means of a multiscale framework such as wavelet packets, and exploit the properties of sparse representation obtained by projection onto a proper space. We propose two techniques, developed for dealing with complex-valued mixtures of real sources and incorporate sparsity-dependent clustering via projection onto a proper space; one onto polar coordinates, and the other onto cartesian coordinates. We describe various aspects of the proposed techniques, and present an experiment of noisy mixtures of images.
Date of Conference: 04-08 September 2005
Date Added to IEEE Xplore: 06 April 2015
Print ISBN:978-160-4238-21-1
Conference Location: Antalya, Turkey
Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel
Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel

Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel
Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel
Contact IEEE to Subscribe

References

References is not available for this document.