Data Re-Binning

2019 2 26
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更新时间：2019 2 27
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Hello all,
I am looking for a built-in function or a short code to rebinning my X vs. Y data. Basically, if the number of (X,Y) data points is too large, then how I can reduce the number of data points by the factor 2 or 3 or 4 for my experiment? In this process I do not want to loose statistics. When reducing data points, I want to get the average value of X and Y within the new X-spacing.
Example:
X=[1 2 3 4];
Y=[10 20 30 40];
% I want to reduce the number of data points by the factor of 2. So the outcome I want to get is the following.
new_X=[1.5 3.5];
new_Y=[15 35];
Any lead how I can achieve this?
Thanks in advance.
Regards,
Kaushik

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Adam
Adam 2019-2-26
编辑：Adam 2019-2-26
doc interp1
should do fine, or
doc decimate
if you are happy to reduce by an integer factor

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回答（1 个）

Kaushik Sen
Kaushik Sen 2019-2-27

0 个投票

Thanks Adam for pointing out that 'decimate' is a potential option. However, it has only FIR or IIR filtering options. What I want to get is the averaging option. Shown is the example.
X=1:50;
new_X should be [1.5 3.5 5.5 7.5 9.5 .... 49.5]
but decimate(X,2) yields [1.97 3.96 5.93 7.91 9.89 11.86 13.84 15.81 17.80 ... 49.40]

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