Spline interpolation and smoothing of data
โ Scribed by R.E. Cutkosky; C. Pomponiu
- Publisher
- Elsevier Science
- Year
- 1981
- Tongue
- English
- Weight
- 876 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0010-4655
No coin nor oath required. For personal study only.
โฆ Synopsis
Title of program: SPLINESMOOTH smoothing a set of experimental data, measured at a sequence of values of some independent variable. This is done as a first Catalogue number: AAQO step towards interpolating, integrating, differentiating, or otherwise transforming the function represented by the data. Program obtainable from: CPC Program Library, Queen's Sometimes a suitable family of theoretically motivated func-University of Belfast, N. Ireland (see application form in this tions can be used to fit the data; in other more general cases, issue) it is convenient to use functions which have a general character. We present here a method which uses spline functions for Computer: DEC VAX 11/780; Installation: Department of smoothing a given set of data. The use of spines is suggested Physics,
๐ SIMILAR VOLUMES
A theorist may wish to interpolate data known to be a func-Catalogue number: ACZG tion of two variables. Often the data are not known on a regular grid, but are distributed irregularly. The "best approx-Program obtainable from: CPC Program Library, Queen's imation" when interpolating data which can
The method of Dubuc and Deslauriers on symmetric interpolatory subdivision is extended to study the relationship between interpolation processes and wavelet construction. Refinable and interpolatory functions are constructed in stages from B-splines. Their method constructs the filter sequence (its