Performs simple nonlinear noise reduction
Inputs
Must be realvector. If it is a row vector then the output will be row vectors as well.
Embedding dimension. Must be postive integer.
If rv > 0 then it is equal to the absolute radius of the neighbourhoods. If rv < 0 then its opposite (-rv) is equal to the fraction of standard deviation used. It cannot be equal 0.
The number of iterations [default = 1].
Output
Vector containing the cleaned data.
Difference between the clean and noisy data.
See the demo for example of how lazy works.
Algorithm Uses TISEAN package lazy
Package: tisean