Title :
Causal Spline Interpolation by Hα Optimization
Author :
Nagahara, Masaaki ; Wada, Tomotaka ; Yamamoto, Y.
Author_Institution :
Graduate Sch. of Informatics, Kyoto Univ.
Abstract :
Spline interpolation systems generally contain non-causal filters, and hence it is difficult to use such systems for real-time processing. Our objective is to design a causal system which approximates spline interpolation. This is formulated as a problem of designing a stable inverse of a system with unstable zeros. For this purpose, we adopt H alpha optimization. The Halpha-optimal inverse system can be effectively solved by standard MATLAB routines, and hence causal spline interpolation is obtained. A numerical example is presented to illustrate the result
Keywords :
Hinfin optimisation; control system analysis computing; interpolation; mathematics computing; splines (mathematics); Hinfin optimization; Matlab; causal spline interpolation; causal system; inverse system; IIR filters; Image converters; Image processing; Image sampling; Interpolation; Polynomials; Real time systems; Signal reconstruction; Signal sampling; Spline; H¿ optimization; interpolation; splines;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.314722
