Published 1999 | Version v1
Report Open

A piecewise cubic approximation and the smoothing of curves in an adaptation mode

Description

A simple iterative method is proposed for the local approximation and the smoothing of functions using a three-point cubic spline. The method is based on the four-point transforms and the recursive least square method. A recurrent third order smoothing digital filter is derived. The speed of convergence is not worse than 1/n3. The algorithm uses small resources of memory and can be applied to digital signal processing, contour and track finding as well as for a numerical solution of practical problems. The efficiency and the noise stability of the algorithm are confirmed by examples. (author)

Availability note (English)

Available from INIS in electronic form

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Additional details

Additional titles

Original title (Russian)
Кусочно-кубическое приближение и сглаживание кривых в режиме адаптации

Publishing Information

Imprint Pagination
18 p.
Report number
JINR-R--10-99-168

INIS

Country of Publication
Joint Institute for Nuclear Research (JINR)
Country of Input or Organization
Joint Institute for Nuclear Research (JINR)
INIS RN
30053414
Subject category
S99: GENERAL AND MISCELLANEOUS;
Descriptors DEI
CONVERGENCE; COORDINATES; CORRECTIONS; ERRORS; ITERATIVE METHODS; LEAST SQUARE FIT; MATHEMATICAL MODELS; POLYNOMIALS; RECURSION RELATIONS; SPLINE FUNCTIONS; WEIGHTING FUNCTIONS
Descriptors DEC
CALCULATION METHODS; FUNCTIONS; MAXIMUM-LIKELIHOOD FIT; NUMERICAL SOLUTION

Optional Information

Notes
12 refs., 8 figs.