1
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Hi I have a set of data electrical signal measurement in the time domain, may I seek some suggested on how can I filter this set of data.

The measurement was done over a period of 43 sec, at 200Hz per second, giving us around 8600-n data points.

I have tried using the moving average methods but it affects the accuracy of the reading.

Due to the data length, I have shorted the first cycle out of the 8 cycles.

Appreciate some suggestion in this. Thank you.

data = {0.867513, 0.855728, 0.853856, 0.86728, 0.888611, 0.899992,
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        0.916341, 0.916341, 0.916341, 0.916341, 0.916341, 0.916341, 0.916341, 
        0.916341};

enter image description here

$\endgroup$
4
  • 1
    $\begingroup$ I cannot see a question in this post. $\endgroup$
    – Szabolcs
    Oct 1, 2019 at 10:46
  • $\begingroup$ What kind of filtering are you looking for? Having cleaner looking data? Removing the outliers and picking up the outliers? $\endgroup$ Oct 1, 2019 at 11:25
  • 1
    $\begingroup$ Possible duplicate of Deleting noisy data from a plot (manually) and export the best remaining data $\endgroup$
    – m_goldberg
    Oct 1, 2019 at 15:13
  • $\begingroup$ Try a median filter: ListPlot[{data, MedianFilter[data, 15]}] looks pretty good. $\endgroup$
    – bill s
    Oct 1, 2019 at 23:54

1 Answer 1

1
$\begingroup$

Let's use this method. Play with parameters if it is necessary.

 xScale = 2.;
    xy = Transpose[{N[Range[Length[data]]]*(xScale/Length[data]), data}];

    start = {-xScale, Mean[data]};
    finish = {2*xScale, Mean[data]};
    graph = NearestNeighborGraph[Join[{start}, xy, {finish}], 10];
    graph = SetProperty[graph, 
       EdgeWeight -> 
        Apply[SquaredEuclideanDistance, EdgeList[graph], {1}]];

    path = FindShortestPath[graph, start, finish][[2 ;; -2]];
    ListLinePlot[path, PlotRange -> MinMax[data], 
     Prolog -> {Gray, Point[xy]}, PlotStyle -> Red, ImageSize -> 600]

enter image description here

$\endgroup$

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