6533b86efe1ef96bd12cb25a
RESEARCH PRODUCT
Local Splines on Non-uniform Grid
Pekka NeittaanmäkiAmir AverbuchValery A. ZheludevValery A. Zheludevsubject
Signal processingComputer Science::GraphicsQuadratic equationSimple (abstract algebra)Computer scienceStructure (category theory)Multidimensional dataObject (computer science)GridAlgorithmInterpolationdescription
In this Chapter and in the next Chap. 7, we deal with continuous rather than discrete and discrete-time splines. In these and only these chapters, we abandon the assumption that the grid, on which the splines are constructed, is uniform and consider splines on arbitrary grids. Two types of local cubic and quadratic splines on non-uniform grids are described: 1. The simplest variation-diminishing splines and 2. The quasi-interpolating splines. The splines are computed by simple fast computational algorithms that utilize relations between the splines and interpolation polynomials. In addition, these relations provide sharp estimations of splines’ approximation accuracy. These splines can serve as an efficient tool for real-time signal processing. As an input, they use either clean or noised arbitrarily-spaced samples. On the other hand, the capability to adapt the grid to the structure of an object and minimal requirements to the operating memory are great advantages for off-line processing of signals and multidimensional data arrays, especially in the 2D case. The contents of this chapter, as well as Chap. 7, is based on (Averbuch, Neittaanmaki, Shefi and Zheludev, Adv. Comput. Math. 43(4), 733–758, 1917) [2].
year | journal | country | edition | language |
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2018-06-20 |