Methods to make(fit) the samples of two signals for averaging them

8 次查看（过去 30 天）

Gova ReDDy 2014-1-14

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/112396-methods-to-make-fit-the-samples-of-two-signals-for-averaging-them

评论： Image Analyst 2014-1-16

Hello,

I want to get the average of two signals but the number of samples(values) of the two are not equal.One method to make this possible is by using interpolation and here is the demo by Image Analyst for this but the values of the resultant(interpolated)signal are not equal to that of the real signal values.

Can someone explain if there are other methods available to fit the number of samples between two signals.

Thanks.

6 个评论
显示 4更早的评论隐藏 4更早的评论

Amit 2014-1-16

I think what he want is somehow get both data to be of same size, so he can average it. and yeah, the interpolation used in his code is no better than using y=x.

Image Analyst 2014-1-16

I gave him code to make them the same size in http://www.mathworks.com/matlabcentral/answers/111930#answer_120465 and then to average them. He accepted but then he changed it to the code above, which broke it.

请先登录，再进行评论。

请先登录，再回答此问题。

回答（1 个）

Amit 2014-1-16

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/112396-methods-to-make-fit-the-samples-of-two-signals-for-averaging-them#answer_121068

Your s1 and s2 are 1x363 and 1x411 matrixes. Now what you're interpolating is essentially interp1(s1,s1,_blah_) which is simply a straight line. Moreover you're just plotting plot(s1) etc, which is essentially plot(1:length(s1),s1) etc. The problem here is that the number of elements in your matrixes are different and the plot will look like this.

Is there a 'x' values corresponding to s1 and s2?

2 个评论
显示无隐藏无

Gova ReDDy 2014-1-16

No, I don't have.

Amit 2014-1-16

编辑：Amit 2014-1-16

在 MATLAB Online 中打开

Okay, in that case I think you can do something like this (if I understand correctly).

In case length(s1)<length(s2), as in your case

s1_x = linspace(1,length(s1),length(s2));
s2_int = interp1(s2_x,s2,1:length(s1));
plot(s1);hold on;plot(s2_x,s2,,'-g');plot(s2_int,'-r');
%%For averaging
avg_s1s2 = mean([s1;s2_int]);

You dont have to interpolate s1 here.

请先登录，再进行评论。

请先登录，再回答此问题。