Blind Sequential Extraction of Post-Nonlinearly Mixed Sources using Kalman Filtering

@article{Leong2006BlindSE,
  title={Blind Sequential Extraction of Post-Nonlinearly Mixed Sources using Kalman Filtering},
  author={Wai Yie Leong and Danilo P. Mandic},
  journal={2006 IEEE Nonlinear Statistical Signal Processing Workshop},
  year={2006},
  pages={137-140}
}
A novel approach which extends blind source separation (BSS) of one or group of sources to the case of post-nonlinear mixtures is proposed. This is achieved by an adaptive algorithm in which the cost function jointly estimates the kurtosis and a measure of nonlinearity. Next, Kalman filtering is applied to blindly extract the signal of interest. The analysis of the proposed approach is conducted for the case of smooth post-nonlinear mixing and simulations are provided to illustrate both the… CONTINUE READING