# moving_medianΒΆ

The moving_median function calculates a moving median. The function operates over a moving window of values. For each window, the middle value found in the window is used.

This filter can be used to reduce random noise and spikes.

`rvMedian = moving_median(rvY, nNeighbor)`

Return Value

rvMedian is the moving median. It has the same length as rvY.

Parameters

`rvY`

rvY is a signal.

`nNeighbor`

nNeighbor specifies the window width. 3 <= nNeighbor <= 1025.

Example

In the following example 5 consecutive points are sorted ascending and the third point is used. For a window size of 5, the first 2 point and the last 2 points are not altered. The first calculated point in rvOut is the third point: `[4,5,6,7,27] -> 6`, `[4,6,7,8,27] -> 7`

```rvIn   = [5, 7, 6, 4, 27, 8, 4, 5]
rvOut = moving_median(rvIn, 5)
rvOut -> [5, 7, 6, 7, 6,  8, 4, 5]
```
```x = linspace(0, 2*PI, 1000)
y = sin(x) + rand(1, 1000) * 0.1
yy = moving_median(y, 11);
h = plot(x, y);
XYSetProps(h[3], "curve_color = 'blue'");
h = plot(x, yy, h[2]);
XYSetProps(h[3], "curve_color = 'red'");
```

History

Version Description
5.14.9 New