-- card: 5034 from stack: in -- bmap block id: 0 -- flags: 0000 -- background id: 2595 -- name: -- part 1 (field) -- low flags: 00 -- high flags: 0000 -- rect: left=39 top=27 right=60 bottom=464 -- title width / last selected line: 0 -- icon id / first selected line: 0 / 0 -- text alignment: 1 -- font id: 34 -- text size: 24 -- style flags: 17152 -- line height: 32 -- part name: -- part contents for card part 1 ----- text ----- Experimental noise -- part contents for background part 22 ----- text ----- It is possible to try to analyse data as if it were that from deterministic chaos + some noise. The aim would be to assert that, say, 80% of the signal can be predicted from a deterministic map, while the remaining 20% is unpredictable random noise. See recent work by R.M. May.