# 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} }

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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