https://www.selleckchem.com/pr....oducts/act001-dmamcl
Experimental time series provide an informative window into the underlying dynamical system, and the timing of the extrema of a time series (or its derivative) contains information about its structure. However, the time series often contain significant measurement errors. We describe a method for characterizing a time series for any assumed level of measurement error [Formula see text] by a sequence of intervals, each of which is guaranteed to contain an extremum for any function that [Formula see text]-approximates the time serie
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