Abstract
The authors set forth an approach to the robust analysis of periodic digital data. This approach uses optimal order statistic (OS) filters for the filtering of non-Gaussian additive i.i.d. (independently identically distributed) noise and OS and generalized order statistic (GOS) filters to factor out impulsive and/or bursty noise. The noise is not necessarily stationary and may vary with phase (amplitude) and/or time. The methodology is applied to visual evoked response data. >
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