Comparison of Inverse Distance Weighted and Natural Neighbor Interpolation Method at Air Temperature Data in Malang Region

Hardware-Assisted Natural Neighbor Interpolation

Natural neighbor interpolation is a weighted average interpolation method that is based on Voronoi tessellation. In this paper, we present and implement an algorithm to perform natural neighbor interpolation using graphics hardware. Unlike traditional software-based approaches that process one query at a time, we develop a scheme that computes the entire scalar field induced by natural neighbou...

Moebius-Invariant Natural Neighbor Interpolation

We propose an interpolation method that is invariant under Möbius transformations; that is, interpolation followed by transformation gives the same result as transformation followed by interpolation. The method uses natural (Delaunay) neighbors, but weights neighbors according to angles formed by Delaunay circles.

Möbius-invariant natural neighbor interpolation

Presentation of K Nearest Neighbor Gaussian Interpolation and comparing it with Fuzzy Interpolation in Speech Recognition

Hidden Markov Model is a popular statisical method that is used in continious and discrete speech recognition. The probability density function of observation vectors in each state is estimated with discrete density or continious density modeling. The performance (in correct word recognition rate) of continious density is higher than discrete density HMM, but its computation complexity is very ...

Natural Neighbor Interpolation and Order of Continuity

In this paper we give a survey on natural neighbor based interpolation, a class of local scattered data interpolation schemes that define their support on natural neighbors in the Voronoi diagram of the input data sites. We discuss the existing work with respect to common aspects of scattered data interpolation and focus on smoothness of the interpolant.