BFL/examples/nonlinear_kalman/you find the source file called
test_nonlinear_kalman.cppThis file contains the implementation we discuss in this second example. The beginning of the file contains the same C++ overhead as the first tutorial except for the fact we have to include the proper |This file contains the implementation we discuss in this second filter:
#include <filter/extendedkalmanfilter.h>and one extra inclusion for the class we will create ourselves in this tutorial:
#include "nonlinearanalyticconditionalgaussianmobile.h"