Situation:
I was trying to compare two signal vectors (y1 & y2 with time vectors x1 & x2) with different lengths (len(y1)=1000>len(y2)=800). For this, I followed the main piece of advice given hardly everywhere: to use interp1 or spline. In order to 'expand' y2 towards y1 in number of samples through an interpolation.
So I want:
length(y1)=length(y2_interp)
However, in these functions you have to give the points 'x' where to interpolate (xq), so I generate a vector with the resampled points I want to compute:
xq = x2(1):(length(x2))/length(x1):x2(length(x2));
y2_interp = interp1(x2,y2,xq,'spline'); % or spline method directly
RMS = rms(y1y2_interp)
The problem:
When I resample the x vector in 'xq' variable, as the faction of lengths is not an integer it gives me not the same length for 'y2_interp' as 'y1'. I cannot round it for the same problem.
I tried interpolate using the 'resample' function:
y2_interp=resample(y2,length(y1),length(y2),n);
But I get an aliasing problem and I want to avoid filters if possible. And if n=0 (no filters) I get some sampling problems and more RMS.
The two vectors are quite long, so my misalignment is just of 2 or 3 points.
What I'm looking for:
I would like to find a way of interpolating one vector but having as a reference the length of another one, and not the points where I want to interpolate.
I hope I have explained it well... Maybe I have some misconception. It's more than i'm curious about any possible idea.
Thanks!!
