Feature Sensitive and Automated Curve Registration
Methodology
2016-04-21 v2
Abstract
Given two sets of functional data having a common underlying mean function but different degrees of distortion in time measurements, we provide a method of estimating the time transformation necessary to align (or `register') them. We prove that the proposed method is consistent under fairly general conditions. Simulation results show superiority of the performance of the proposed method over two existing methods. The proposed method is illustrated through the analysis of three paleoclimatic data sets.
Cite
@article{arxiv.1508.05652,
title = {Feature Sensitive and Automated Curve Registration},
author = {Dibyendu Bhaumik and Radhendushka Srivastava and Debasis Sengupta},
journal= {arXiv preprint arXiv:1508.05652},
year = {2016}
}
Comments
43 Pages, 7 Figures, 3 Tables