Performs nonlinear noise reduction with locally constant approximations. Either -r or -v must be present. Output file (the cleaned sequence) is file_lc[ccc] (one letter c per iteration).
-m embedding dimension
-r absolut radius of neighbourhoods
-v same as fraction of standard deviation
-i number of iterations (1)
-l number of values to be read (all)
-x number of values to be skipped (0)
-c column to be read (1 or file,#)
-o output file name, just -o means file_lc, file_lcc (etc.)
-V verbosity level (0 = only fatal errors)
-h show this message
This routine is based on
Extremely simple nonlinear noise reduction method,
Phys. Rev. E 47, 2401 (1993).
Note: With already fairly clean data, you can expect superior results using project or ghkss.
> henon -l10000 > data > addnoise -v0.02 data > lazy -m7 -v0.06 -i3 data_noisy gnuplot> plot '< cat data_noisy | delay' gnuplot> plot '< cat data_noisy_lccc | delay'
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