Draw, manipulate and reconstruct B-splines.

estimate B-splines with known knot vector, given a set of noisy data points either with known or unknown associated parameter values.As regards the interactive interface, the user is shown a figure window

MATLAB library for elastic functional data analysis

Computes the B-spline approximation from a set of coordinates. Supports periodicity and n-th order approximation.

Computes the B-spline approximation from a set of coordinates (knots).The number of points per interval (default: 10) and the order of the B-spline (default: 3) can be changed. Periodic boundaries

Numerical computation with functions

Separating periodic signals from their aperiodic background

presents a method for modelling periodic signals having an aperiodic trend using the method of variable projection. In particular, this paper focuses on using B-Splines to model the a-periodic portion. The

G1 and G2 fitting with clothoids, circle and biarc

Given a 3D cloud of points accompanied by normals an implicit b-spline surface is reconstructed.

A fast surface reconstruction is implemented in this set of codes. Given a 3D cloud of points accompanied by normal vectors an implicit b-spline surface will be reconstructed.Please cite the

Toolbox for Reachability Analysis

Using Implicit B-Splines for Surface Reconstruction out of 3D point clouds.

Using Implicit B-Splines for Surface Reconstruction out of 3D point clouds.Please cite the following paper, in case of using the code:Rouhani M. and Sappa A.D., Implicit B-spline fitting using the 3L

Sandia Matlab AnalysiS Hierarchy

Core tools required for running Canlab Matlab toolboxes. The heart of this toolbox is object-oriented tools that enable interactive analysis

The program splineLength.m calculates numerically the arc length of an arbitrary B-splines.

The program splineLength.m calculates numerically the arc length of an arbitrary B-spline. Numerical integration uses "waypoints" for high precision.

Spline toolbox for the definition, evaluation and visualization of spline curves and surfaces based on standard B-splines

The Spline toolbox allows the definition, evaluation and visualization of spline curves and surfaces based on standard B-splines. Furthermore, it provides an approximation algorithm with the

Planar Cosserat rod

Finite element library for solving plane elasticity problems

draw19 is a collection of the MATLAB's functions that allows one to draw various geometric entities in the plane.

Some basic codes in Computer Aided Design

Surface16.Plot B-Spline Curve

AxonSeg is a GUI that performs axon and myelin segmentation on histology images.

A non-local learning rule is employed in a repetitive neurocontroller based on B-spline network.

http://dx.doi.org/10.1109/IECON.2013.6700120 [**] weight constraints are used instead of forgetting and that turns out to robustify the controller. Hence, the same idea has been tested also in the B-spline based repetitive neurocontroller

Flexible Algorithms for Image Registration

A toolbox for nonparametric probability function estimation using normalized B-splines

A MATLAB toolbox 'bsspdfest' implementing nonparametric probability function estimation using normalized B-splines was developed. The toolbox implements nonparametric probability function estimation

2D-DIC program that uses contiguous circular subsets, biquintic B-spline interp, and complex ROIs

Fit, evaluate, differentiate non-uniform B-splines of any order - fast

fastBSpline - A fast, lightweight class that implements non-uniform B splines of any order Matlab's spline functions are very general. This generality comes at the price of speed. For large-scale

Basic toolbox for polynomial B-splines on a uniform grid. OO overloading of common operators.

B-splines is a natural signal representation for continous signals, wheremany continous-domain operations can be carried out exactly once theB-spline approximation has been done.The B-spline

This is an image registration Matlab program developed based on B-spline composition and level sets.

In this code, the image is defined using B-spline level set functions and they are deformed by using a composition approach. The computation composed of efficient algorithms for calculating the

Basis functions for B-Splines (including nonrational and rational B-Splines).

Given the number of control points(N), the order of Splines (K), a sequence of knot vector (T), and the file name of txt format, the function basisfunc_NBS computes the nonrational (unweighted) basis

The concept of B-spline based repetitive control is explored within the frame of motion control.

remember to click the Build button in the S-Function block before attempting to run the model. More info: M. Malkowski, B. Ufnalski and L. M. Grzesiak, B-spline based repetitive controller revisited: error

A recursive function that computes the b-spline basis atoms, it's very compact

a function to compute the b-spline points on a gridusage y = spline_recursion (u,n)n is the order of the spline u is the grid pointexample:t=linspace(-2,10,10000);y1=spline

Nurbs _ Bezier Extraction

Geometric refractive ray tracer using NURBS surfaces

rational Bezier patches which is a special case of the two parameter non-uniform rational b-spline. Two tables of input data are required. "Surfaces" is the first table and includes the system prescription

B-spline registration of two 2D / 3D images or corrsp. points, affine and with smooth b-spline grid.

Affine and B-spline grid based registration and data-fitting of two 2D color/grayscale images or 3D volumes or point-data. Registration can be done intensity / pixel based, or landmark /

### B-spline based repetitive controller using iterative swarm learning for CACF VSI

version 1.2.0.0

Rafal BarszczewskiWeights of B-spline controller are trained using PSO

https://www.mathworks.com/matlabcentral/fileexchange/47847-plug-in-direct-particle-swarm-repetitive-controller. The novelty is that B-spline based repetitive controller has weights trained using PSO.

C-code version of B-spline repetitive controller

This model is a C-code version of http://www.mathworks.com/matlabcentral/fileexchange/49023-b-spline-based-repetitive-neurocontroller uploaded by Bartlomiej Ufnalski.

Numerical computation with functions

Coefficients of the Cubics For Nonuniform Cubic Spline Interpolation

Coefficients of the Cubics For Nonuniform Cubic Spline InterpolationThe program works for any combination of first or second derivative end conditions (so, as special cases, it includes natural and

Spline object modification / transformation

A little piece of code enabling quick modification of spline objects: clipping, shifting, and scaling in both x, and y.

Creates Toeplitz-like matrices representing interpolation operations with edge conditions.

reconstruction using cubic B-splines with different possible boundary conditions. The screenshot above shows the output of this example, and illustrates how improved signal reconstruction is obtained using

This is a function to draw a closed cubic B-Spline.

This is a function to draw a closed cubic B-Spline, based on by David Salomon (great book!), page 261 (closed cubic B-Spline curve).usage:closed_cubic_bspline(P,1) will compute and plot the closed

Matlab toolbox for generating meshes from EBSD data

Peak fitting GUI for Diffraction Data

algorithm Customize the background fit by either treating it separately (Polynomial or Spline) or including it in the least-squares routine (Polynomial only) Can analyzes files with a different number of data

A toolbox for performing image registrations on 4D RTOG files or any other volumetric image.

This toolbox contains all the functions necessary for extraction and registration of medical RTOG images using a cubic-B-spline free form deformation technique. The optimization routine uses a

### Workflow for chromatogram alignment using the semi-parametric time warping algorithm

version 1.0.0.0

Christina de Bruyn KopsWorkflow for chromatogram alignment using the semi-parametric time warping algorithm

Least squares approximation of 1D data using free-knots spline

Implementation of methods for interpolation of discrete-time signals from uniform samples.

, B-spline interpolation).

This recursive function implements a division-free inverse of a square matrix.

very specific cases,when the required condition holds.One of such situations is when calculating a cubic B-spline interpolation or cubic NURBS interpolation, where a tridiagonal matrix always occurs

Fit a spline to noisy data

controlled by the selection of breaks. SPLINEFIT:- A curve fitting tool based on B-splines- Splines on ppform (piecewise polynomial)- Any spline order (cubic splines by default)- Periodic boundary conditions

Construct coefficients of interpolating or smoothing BSplines from N-dimensional array, analytically

Class to enable BSpline signal and image processing. Based off of the papers:M. Unser, A. Aldroubi, and M. Eden, "B-Spline Signal Processing: Part I - Theory," IEEE Trans Sig Proc, 41(2):821-833

Shape Context based nonrigid registration of 2D/3D objects, to build Active Shape Models

Shape Context is a method to get an unique descriptor (feature vector) for every point of an object contour or surface. This descriptor is used in combination with a b-spline free form deformation

Matlab Apps for Two-Dimensional Interpolation functions from scattered points (xyz)

Matlab Apps for Two-Dimensional Interpolation functions from scattered points (xyz), i.e., Linear, Nearest neighbor, Natural neighbor, Cubic, and Spline interpolation.Read and export data sets in

This GUI visualizes the basis functions of spline spaces

This GUI visualizes the basis functions of spline spaces. Different bases can be chosen from the following: 1) B-Splines 2) Cardinal Splines

The SAF consists of a linear network of adaptive weights in cascade with an adaptive nonlinear network. now we will discuss Hammerstein.

techniques. B-splines and Catmull-Rom splines are used, because they allow to impose simple constraints on control parameters. This new kind of adaptive function is then applied to the output of a linear

aspect ratio conversion by using bilinear interpolation or nearest neighbor interpolation techniques

new pixel.There are many allgorithms to determine new value of the pixel.like Nearest-neighbor, Bilinear, Bicubic, Bicubic B-spline, Catmull-Rom . here in this project I have done 2 of the this few

Brainstorm: Open source application for MEG/EEG data analysis

Converted NURBS toolbox

Optimal trajectory generation

[1,2] and 2) a sequence of points [3]. The difference is optimization variables.a. Piecewise-polynomials (polyTrajGen class) : It defines the primitive of the curve as polynomical spline. The

The STK is a (not so) Small Toolbox for Kriging

. Itsprimary focus is on the interpolation/regressiontechnique known as kriging, which is very closely relatedto Splines and Radial Basis Functions, and can beinterpreted as a non-parametric Bayesian method

Fast Fourier Transform ( FFT ) of scattered data

fit: 1. B-splines sampled on a regular grid are fitted to the values (V) at positions (X), so they least squares approximate the data. 2. At the regular grid (Xq), values are interpolated

Interpolate over small gaps in x, but not over large gaps in x.

: 'nearest' nearest neighbor interpolation 'linear' linear interpolation (default) 'spline' cubic spline interpolation 'pchip' piecewise cubic Hermite interpolation 'cubic' (same as 'pchip