Is there a way to compute the correlation dimension for a given embedding dimension in this framework?
Let's say that if I were to take x time series of the Lorenz system and compute the correlation dimension for each embedding dimension then I would get a plot where the correlation dimension would increase with the embedding dimension for a while but after a while correlation dimension would be independent of embedding dimension.
If I were to do the same thing for the noise then the correlation dimension would linearly increase with the embedding dimension for all along.
Is there a way to compute the correlation dimension for a given embedding dimension in this framework?
Let's say that if I were to take
x
time series of the Lorenz system and compute the correlation dimension for each embedding dimension then I would get a plot where the correlation dimension would increase with the embedding dimension for a while but after a while correlation dimension would be independent of embedding dimension.If I were to do the same thing for the noise then the correlation dimension would linearly increase with the embedding dimension for all along.