Least-square computation method for smoothing and differentiation of two-dimensional data

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A computation method to smooth and differentiate data of the z = f (x,y) kind is introduced. Requiring only that the datapoints be equi-distant in x and equi-distant in y, smoothing parameters can be calculated for general use. The greatest advantage of the method is that even higher-level mixed partial derivatives can be calculated directly from the datapoints.

Original languageEnglish
Pages (from-to)63-70
Number of pages8
JournalPeriodica Polytechnica Electrical Engineering
Volume33
Issue number1-2
Publication statusPublished - Jan 1 1989

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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