@inproceedings{629535a083e3431e8465c495eb0df1dc,
title = "Exploring new options for data interpolation with radial basis functions",
abstract = "In many disciplines there is a need for efficient in terpolation of ir regular spaced data. For unsampled locations values have to be computed from the available data. Usually we are interested in smooth interpolations, and artificial o scillations should be avoided. For large data sets fully populated matrices are undesirable. The use of compactly supported basis functions appears to be attractive. In this paper radial basis functions satisfying the 2D bi-harmonic equation are used. Accurate interpolation could be achieved in the numerical test examples.",
keywords = "Data interpolation, Radial basis functions, Trefftz method",
author = "Reinhard Piltner",
note = "Publisher Copyright: {\textcopyright} 2018 ACM.; 11th EAI International Conference on Mobile Multimedia Communications, MOBIMEDIA 2018 ; Conference date: 21-06-2018 Through 23-06-2018",
year = "2018",
month = sep,
day = "12",
doi = "10.4108/eai.21-6-2018.2276666",
language = "English",
series = "International Conference on Mobile Multimedia Communications (MobiMedia)",
publisher = "ICST",
editor = "Danda, {Rawat B.} and Wenjia Li and Shaoen Wu and Ju Wu and Qing Yang and Guozhu Liu",
booktitle = "MOBIMEDIA 2018 - 11th EAI International Conference on Mobile Multimedia Communications",
}