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In laptop and desktop computers, clocks and busses generate significant radio frequency interference (RFI) for the embedded wireless data transceivers. RFI is impulsive in nature. When detecting a signal in additive impulsive noise, Spaulding and Middleton showed a potential improvement in detection of 25 dB at a bit error rate of 10 −5 when using a Bayesian detector instead of a standard correlation receiver. In this paper, we model impulsive noise using Middleton Class A and Symmetric Alphadoi:10.1109/icassp.2008.4517882 dblp:conf/icassp/NassarGSAET08 fatcat:i24fpsqjnbd4vijzeq54sh47ge