The following steps summarize how to use the lookup table approximation functions:
The ideal function to approximate
over which to find X and Y data
The fixed-point implementation: data type, scaling, and rounding method
The maximum acceptable error, the maximum number of points, and the spacing
to generate X and Y data.
to plot the function and error between the ideal and approximated
functions using the selected X and Y data, and to calculate the error
and the number of points used.
Vary input criteria, such as
spacing, to produce sets of X and Y data that
generate functions with varying worst-case error, number of points
required, and spacing.
Compare results of the number of points required and maximum absolute error from various runs to choose the best set of X and Y data.