- Function File: cleaned = lazy (X, m, rv)
- Function File: [cleaned, diff] = lazy (X, m, rv)
- Function File: … = lazy (X, m, rv, imax)
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Performs simple nonlinear noise reduction
Inputs
- X
Must be realvector. If it is a row vector then the output will be row vectors as well.
- m
Embedding dimension. Must be postive integer.
- rv
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.
- imax
The number of iterations [default = 1].
Output
- cleaned
Vector containing the cleaned data.
- diff
Difference between the clean and noisy data.
See the demo for example of how lazy works.
Algorithm Uses TISEAN package lazy
Package: tisean