computational efficiency of smoothing methods

We intend to use several smoothing techniques to smooth out some data. We have tried the following methods:

• Gaussian-weighted moving average
• Linear regression
• Quadratic regression
• Savitzky-Golay filter

All of them are giving very similar results, and it has been hard for us to decide which one would be the optimal technique to move forward with. Thus we would like to know if we can measure the computational efficiency of each technique while using them in Matlab and hence we can choose the most efficient one, since all of them are giving similar results.

So is there a way to achieve this?

Thanks in advance.

[Mathieu NOE]

use tic (at the start of your code) and toc (at the end) to measure each code performance

Start stopwatch timer - MATLAB tic - MathWorks France