Detection in correlated impulsive noise using fourth-order cumulants

We consider detection and estimation in correlated impulsive noise. The non-Gaussian impulsive noise is modeled as the sum of two linear processes: a nominal part and an impulsive part. This model admits correlated impulsive bursts lasting many data samples. Identifiability of the noise model is est...

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Veröffentlicht in:	IEEE transactions on signal processing 1996-11, Vol.44 (11), p.2793-2800
1. Verfasser:	Sadler, B.M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Background noise Detection, estimation, filtering, equalization, prediction Detectors Electromagnetic interference Exact sciences and technology Filtering Gaussian noise Information, signal and communications theory Radar detection Signal and communications theory Signal detection Signal processing Signal, noise Sonar detection Statistics Telecommunications and information theory
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