Cancellation of polarized impulsive noise using an azimuth-dependent conditional mean estimator

@article{Spagnolini1998CancellationOP,
  title={Cancellation of polarized impulsive noise using an azimuth-dependent conditional mean estimator},
  author={Umberto Spagnolini},
  journal={IEEE Trans. Signal Process.},
  year={1998},
  volume={46},
  pages={3333-3344}
}
  • U. Spagnolini
  • Published 1 December 1998
  • Geology
  • IEEE Trans. Signal Process.
The separation of signals from noisy vector measurements is obtained by taking advantage of the Middleton Class A model of noise amplitude and the correlation of the components of the noise process due to their polarization. The signal is assumed to be white Gaussian. Noise is a superposition of M non-Gaussian processes, each with a fixed azimuth of polarization. Neither the number of processes (M) nor their azimuths are known. The separation of signal from noise is based on the conditional… 

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