## A fast blind SIMO channel identification algorithm for sparse sources

- Daniela Luengo, Ignacio Santamaría, Jesús Ibáñez, L. Vielva, Carlos Pantaleón
- IEEE Signal Processing Letters
- 2003

Highly Influenced

@inproceedings{Erdogmus2001NonparametricEA, title={Nonparametric Estimation and Tracking of the Mixing Matrix for Underdetermined Blind Source Separation}, author={Deniz Erdogmus and Luis Vielva and C. Prı́ncipe}, year={2001} }

- Published 2001

Blind source separation deals with the problem of estimating n source signals from m measurements, which are generated through an unknown mixing process. In the underdetermined linear case, where the number of measurements is smaller than the number of sources, the solution can be obtained in three stages: find a sparse representation domain for the signals, find the mixing matrix, and estimate the sources using the previous knowledge. This paper addresses the second stage. A non-parametric… CONTINUE READING