Fractal functions and interpolation

Let a data set {(x _i,y _i) ∈I×R;i=0,1,?,N} be given, whereI=x ₀,x _N]?R. We introduce iterated function systems whose attractorsG are graphs of continuous functionsf∶I→R, which interpolate the data according tof(x _i)=y _i fori ε {0,1,?,N}. Results are presented on the existence, coding theory, functional equations and moment theory for such fractal interpolation functions. Applications to the approximation of naturally wiggly functions, which may show some kind of geometrical self-similarity under magnification, such as profiles of cloud tops and mountain ranges, are envisaged.