Bio-signals and diagnostic images are collected routinely in time series. Within this context, the development of innovative approaches for signal interpolation assumes relevance and usefulness for the research community. Novel interpolation approaches are thus important in order to analyzing reliably the time series. Also, many image processing analysis tools make use of interpolation functions. B-Splines were demonstrated to be excellent interpolators (De Boor, 1978; Unser et al., 1993a, 1993b) and they improve significantly the interpolation error with respect to linear paradigms which are computationally less demanding. Quadratic and cubic B-Splines offer considerable approximation improvement over the linear paradigm, producing a 33.9% gain, while quintic and septic B-Splines do improve approximation over the cubic functions only slightly (3-8%) when compared to their computational demand (Mijering et al., 1999).