Nsryjdtyk

I have experimental data with periodic sharp artefact spikes, which mask the real signal that could be seen as several negative peaks in the first third part on the curve:

Is it possible somehow to filter these spikes? or at least significantly reduce them? Here is data set:

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2.41043`}, {6520.`, 2.4094`}, {6525.`, 2.40516`}, {6530.`, 

2.40346`}, {6535.`, 2.40558`}};

How about a running median filter?

With[{

   time = Median /@ Partition[data[[All, 1]], 5, 1],

   ampl = Median /@ Partition[data[[All, 2]], 5, 1]}, 

 ListPlot[Transpose[{time, ampl}], Joined -> True, PlotRange -> All]]

You might try a "moving median". Unfortunately the decision for an optimal window width is "I'll know it when I see it" kinda thing. In other words, it takes subject matter expertise and restraint.

Manipulate[

 ListPlot[Table[{data[[n, 1]], Median[data[[n - ww ;; n + ww, 2]]]},

   {n, ww + 1, Length[data] - ww}], Joined -> True, PlotRange -> All],

 {{ww, 2, "Window width"}, 2, 200, 2, Appearance -> "Labeled"}]