/* The following are all the constants controlling the behaviour of   the system and output. *//* How many samples in the distribution? */#define NSamples (1000)/* How many iterations to run the filter? */#define NIterations (100)/* The simulated object follows a model of the same form as the   process */#define SceneSigma (0.03)/* The prior distribution over samples at the first timestep is a   Gaussian with the following parameters. */#define PriorMean (0.0)#define PriorSigma (0.2)/* The process model is a first-order Auto-Regressive Process of the   following form:   x_{t+1} - ProcessMean =     (x_t - ProcessMean) * ProcessScaling + ProcessSigma * w_t   where w_t is zero-mean unit iid Gaussian noise. */#define ProcessMean (-0.1)#define ProcessScaling (0.4)#define ProcessSigma (0.075)/* The observation density is a mixture of Gaussians, where each   observed object has a different sigma as follows. */#define ObsSigma (0.03)/* How many columns wide is the ASCII histogram? */#define HistBins (79)/* How many lines of text does the ASCII histogram take? */#define HistLines (25)/* What is the highest value the density histogram can represent   before saturating above HistLines? */#define MaxHistHeight (0.2)/* What is the distance from the origin to the edge of the histogram? */#define DisplayWidth (0.35)