An adaptive geometrical procedure for blind separation of sources

@article{Puntonet1995AnAG,
  title={An adaptive geometrical procedure for blind separation of sources},
  author={Carlos Garc{\'i}a Puntonet and Alberto Prieto},
  journal={Neural Processing Letters},
  year={1995},
  volume={2},
  pages={23-27}
}
In many Signal Processing applications, data sampled by sensors comprise a mixture of signals from different sources. The problem of blind separation lies in the reconstruction of sources from the mixtures. In this paper a new method is proposed for the separation of sources, based on geometrical considerations. After a brief introduction, we present the principles of the new method and provide a description of the algorithm and map this on an artificial neural network. Finally we give examples… CONTINUE READING