This is documentation for Mathematica 8, which was
based on an earlier version of the Wolfram Language.
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Data Transforms and Smoothing
Directly integrated into Mathematica's uniform architecture for handling lists of data is an array of highly optimized algorithms for transforming and smoothing datasets that can routinely involve millions of elements.
Rescale  ▪ Clip  ▪ Normalize  ▪ Standardize  ▪ Accumulate  ▪ Differences
MovingAverage find the simple moving average with any span
ExponentialMovingAverage find the exponential moving average with damping
MovingMedian find the moving median with any span
Interpolation find an interpolation of any order in any number of dimensions
Fit linear least-squares fit
FindFit find a constrained nonlinear fit to data
ListConvolve, ListCorrelate convolve or correlate data with any kernel
ListDeconvolve restore convolved data
CellularAutomaton apply a cellular automaton rule in any number of dimensions
Fourier, InverseFourier discrete Fourier transform and inverse