### Simple nonlinear noise reduction

`lazy -m# [-r# | -v#] [-i# -o `*outfile*` -l# -x# -c# -V# -h] `* file*

` -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

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).
This routine is based on

T. Schreiber,

*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.

See also nrlazy which corrects more than
just the central component. You may want to try both.

### Usage example

Try also just running: `gnuplot lazy.gnu` in the
`examples` directory.

> `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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