Elastic Analysis of Irregularly or Sparsely Sampled Curves

Statistical models of currents for measuring the variability of ...

... curves, surfaces and their evolution. Human-Computer Interaction [cs ... analysis is used in a clinical context for the prediction of ...

Full article: Functional data clustering using principal curve methods

Multivariate functional clustering for the morphological analysis of ECG curves. ... Clustering for sparsely sampled functional data. Journal of ...

3D symmetric sampling of sparse acquisition geometries

ometry with regularly sampled midpoints, absolute offsets ... Indeed, in all surveys the crossline receiver interval is the most sparsely sampled coordinate.

matlab - Accurate frequency estimation with short time series data

Ideally I am looking for a method that works with irregularly sampled ... Frequency determination from sparsely sampled data · 3. analyzing ...

Application of Near-Surface Seismic Characterization to Sparsely ...

A flat dispersion curve indicates that no dispersion is occurring. In this study, dispersion curves are calculated using slant-stack processing ...

A general framework for functional regression modelling

... irregularly or sparsely sampled data. Statistical Modelling, 16, 67–88 ... Elastic Analysis of Irregularly or Sparsely Sampled Curves. Go to citation ...

Functional data analysis - HandWiki

Sparsely sampled functions with noisy measurements ... "Functional linear discriminant analysis for irregularly sampled curves".

Variational Methods on Elastic Curves - CORE

In Chapter 2, we investigate the Bending Energy of Planar Curves by looking at the curvature-squared energy functional and performing analysis. • In Chapter 3, ...