averagesmooth(data,​smoothwidth)

averagesmooth.m smooths 1D data sets by averaging over neighboring data points.

averagesmooth.m accepts a row vector set(s) of data and how many neighbors (in one direction) you want to average each data point over. It returns the smoothed data set(s).
Inputs:
data -- any linear data set (it can have multiple sets, i.e. 2161x6 will smooth 6 sets of 2161 points)
smoothwidth -- is a natural number, with 0 meaning no smoothing, 1 meaning nearest neighbors are included in the average (3 pts), 2 meaning nearest and next-nearest are included (5 pts), etc..

averagesmooth.m pads the data set to repeat the endpoints. For example, with a smoothwidth of 3, the first point's value is:
(x1 + x1 + x1 + x1 + x2 +x3 +x4) / 7 i.e.: (3 points of padding using point 1 + point 1 + points 2, 3 and 4) / 7