抄録
Interpolation of non-uniform samples is required for various cases of signal processing. In such a case, we often use sampling functions to interpolate signals. We show one example of sampling functions to interpolate signals from non-uniform samples, inheriting the properties of the Fluency sampling functions introduced by Toraichi et al. The proposed sampling function is locally supported and composed with piecewise polynomial functions of degree 2 as the Fluency sampling function. In this paper, we extend the Fluency sampling function and derive the non-uniform sampling function. By using this sampling function, we get smooth and small undulate signal from arbitrary samples.
