Abstract algebra | Binary operations | Theoretical computer science | Statistical signal processing

Lulu smoothing

In signal processing, Lulu smoothing is a nonlinear mathematical technique for removing impulsive noise from a data sequence such as a time series. It is a nonlinear equivalent to taking a moving average (or other smoothing technique) of a time series, and is similar to other techniques, such as Tukey or median smoothing. LULU smoothers are compared in detail to median smoothers by Jankowitz and found to be superior in some aspects, particularly in mathematical properties like idempotence. (Wikipedia).

Lulu smoothing
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Related pages

Idempotence | Smoothing | Signal processing | Median filter | Time series | Noise (signal processing) | Moving average