Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/7092
Title: Least squares fitting of digital polynomial segments
Authors: Žunić J.
Acketa D.
Issue Date: 1-Jan-1996
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract: © Springer-Verlag Berlin Heidelberg 1996. It is proved that digital polynomial segments and their least squares polynomial fits are in one-to-one correspondence. This enables an efficient representation of digital polynomial segments by n+3 parameters, under the condition that an upper bound, say n, for the degrees of the digitized polynomials is assumed. One of such representations is (x 1, m, an, an−1,…, a 0), where x 1 and m are the x-coordinate of the left endpoint and the number of digital points, respectively, while a n, a n−1,..., a 0 are the coefficients of the least squares polynomial fit Y=a nXn+an− 1Xn−1+ ...+a0, for a given digital polynomial segment.
URI: https://open.uns.ac.rs/handle/123456789/7092
ISBN: 9783540620051
ISSN: 3029743
Appears in Collections:PMF Publikacije/Publications

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