Data Re-Binning

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

[Adam]

doc interp1

should do fine, or

doc decimate

if you are happy to reduce by an integer factor

Answer 1

[Kaushik Sen]

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]