Kernel Wiener Filter and Its Application to Pattern Recognition

@article{Yoshino2010KernelWF,
  title={Kernel Wiener Filter and Its Application to Pattern Recognition},
  author={H. Yoshino and Chen Dong and Yoshikazu Washizawa and Yukihiko Yamashita},
  journal={IEEE Transactions on Neural Networks},
  year={2010},
  volume={21},
  pages={1719-1730}
}
The Wiener filter (WF) is widely used for inverse problems. From an observed signal, it provides the best estimated signal with respect to the squared error averaged over the original and the observed signals among linear operators. The kernel WF (KWF), extended directly from WF, has a problem that an additive noise has to be handled by samples. Since the… CONTINUE READING