Approximate the Square Root Function
This example shows how to use the function fixpt_look1_func_plot to find the maximum absolute error for the simple lookup table whose breakpoints are 0, 0.25, and 1. The corresponding Y data points of the lookup table, which you find by taking the square roots of the breakpoints, are 0, 0.5, and 1.
To use the function fixpt_look1_func_plot , you need to define its parameters first. To do so, type the following at the MATLAB prompt:
funcstr = 'sqrt(x)'; % Define the square root function xdata = [0;.25;1]; % Set the breakpoints ydata = sqrt(xdata); % Find the square root of the breakpoints xmin = 0; % Set the minimum breakpoint xmax = 1; % Set the maximum breakpoint xdt = ufix(16); % Set the x data type xscale = 2^-16; % Set the x data scaling ydt = sfix(16); % Set the y data type yscale = 2^-14; % Set the y data scaling rndmeth = 'Floor'; % Set the rounding method
To get the worst-case error of the lookup table and a plot of the error, type:
errworst = fixpt_look1_func_plot(xdata,ydata,funcstr, ... xmin,xmax,xdt,xscale,ydt,yscale,rndmeth)
errworst = 0.1250
The upper box (Outputs) displays a plot of the square root function with a plot of the fixed-point lookup approximation underneath. The approximation is found by linear interpolation between the breakpoints. The lower box (Absolute Error) displays the errors at all points in the interval from 0 to 1. Notice that the maximum absolute error occurs at 0.0625. The error at the breakpoints is 0.