Classroom Tips and Techniques: Fitting an Ellipse to Noisy Data - Maple Application Center
Application Center Applications Classroom Tips and Techniques: Fitting an Ellipse to Noisy Data

Classroom Tips and Techniques: Fitting an Ellipse to Noisy Data

Author
: Maplesoft AuthorDr. Robert Lopez
Engineering software solutions from Maplesoft
This Application runs in Maple. Don't have Maple? No problem!
 Try Maple free for 15 days!

A constrained nonlinear least-squares algorithm for fitting an ellipse to data is explored, and tested against some noisy data. Both an algebraic and an analytic formulation of the algorithm are presented.

Application Details

Publish Date: August 24, 2005
Created In: Maple 10
Language: English

More Like This

Classroom Tips and Techniques: Roles for the Laplace Transform's Shifting Laws
Classroom Tips and Techniques: Integration by Parts
Classroom Tips and Techniques: Norm of a Matrix
Classroom Tips and Techniques: Fitting Circles in Space to 3-D Data
Classroom Tips & Techniques: A First Look at Convolution
Classroom Tips and Techniques: Linear ODEs and the Method of Undetermined Coefficients
Classroom Tips and Techniques: Estimating Parameters in Differential Equations
Classroom Tips and Techniques: Fixed-Point Iteration
Classroom Tips and Techniques: Multiple Integrals in Maple
Classroom Tips and Techniques: Line Integrals for Work, Circulation, and Plane Flux
Classroom Tips and Techniques: Formal Series Solutions of ODEs
Classroom Tips & Techniques: Dot and Cross Products