Probabilistic 2D Point Interpolation and Extrapolation via Data Modeling
extrapolation using the set of key points (knots). A proposed method of Hurwitz- Radon Matrices (MHR)
is such a method. This novel method is based on the family of Hurwitz-Radon (HR) matrices which
possess columns composed of orthogonal vectors. Two-dimensional curve is interpolated via different
functions as probability distribution functions: polynomial, sinus, cosine, tangent, cotangent, logarithm,
exponent, arcsin, arccos, arctan, arcctg or power function, also inverse functions. It is shown how to
build the orthogonal matrix operator and how to use it in a process of curve reconstruction.
This work is licensed under a Creative Commons Attribution 3.0 License.