Shrink Fitting

GMT is an open source collection of ~60 tools for manipulating geographic and Cartesian data sets (including filtering, trend fitting, gridding, projecting, etc.) and producing Encapsulated PostScript File (EPS) illustrations ranging from simple x-y plots via contour maps to artificially...

Tenorshare Partition Manager is comprised of an assortment of valuable partition-management tools in one easy-to-manage software utility. It offers basic partitioning features such as creating, deleting, and formatting partitions, along with advanced ability to extend, shrink and copy partitions....

clickfit_OH.m lets you mouse-click a series of datapoints on top of a (noisy) scatterplot and returns a spline or polynomial regression through the clicked dataseries. In addition the clicked series itself is returned.clickfit_OH.m uses an altered version of ginput.m (ginput_OH.m) that from the...


Platforms: Matlab

Some curve fitting or smoothing tools can benefit from knowledge of the noise variance to expect on your data. Kalman filters use this information, also some spline fitting tools. So I wrote a function to extract the noise variance from a signal vector. It also works on any specified dimension of...


Platforms: Matlab

Run the file main.m and everything works fine.The matrix A contains the data points and it can be changed in the file inputfile.m


Platforms: Matlab

How to fit a 2D Gaussian function to noisy data in Matlab? Or data with another number of dimensions and arbitrary fit function?It took me a while to find out how Matlab does this by the functions lsqcurvefit, fmincon or fminsearch. This project demonstrates how to use these functions to fit ND...


Platforms: Matlab

A computational method for quantitative analysis by multiwavelength absorption spectroscopy, called the Tfit method, based on fitting a model of the instrumentally-broadened transmission spectrum to the observed transmission data. It has the advantages of wider dynamic range and greatly improved...


Platforms: Matlab

A command-line peak fitting program for time-series signals, written as a self-contained Matlab function in a single m-file. Uses an non-linear optimization algorithm to decompose a complex, overlapping-peak signal into its component parts. The objective is to determine whether your signal can be...


Platforms: Matlab

Simple example of the use of the FMINSEARCH function to fit the blackbody equation to the emission spectrum of an incandescent body for the purpose of estimating its color temperature and emissivity. fitblackbody.m is the fitting function. BlackbodyDataFit.m is a script that fits a small set of...


Platforms: Matlab

The model includes simulation of hydraulic line, general fitting and an orifice.


Platforms: Matlab

A peak fitting program for time-series signals, written as a self-contained function in a single m-file. Uses an non-linear optimization algorithm to decompose a complex, overlapping-peak signal into its component parts. The objective is to determine whether your signal can be represented as the...


Platforms: Matlab

This is the power prediction analysis demo that was used in the "MATLAB for Excel Users" webinar. You can view the webinar at:http://www.mathworks.com/wbnr37971This demo requires only MATLAB, Statistics Toolbox, and Curve Fitting Toolbox. In the webinar, we also discussed Spreadsheet Link EX,...


Platforms: Matlab

[M,B] = AG_RECTA(X,Y) finds the the slope M and the y-intercept B of the line that better fits to the X,Y data. X and Y are vectors of the same length.


Platforms: Matlab

The fitting of smooth curve through a set of data points and extention to this is the fitting of 'best fit' spline to a large set of data points which show the cerrent trend but which do not all lie above the curve. The method involves cluster analysis, that is, grouping the crude data into...


Platforms: Matlab

The art of fitting a nonlinear regression model often starts with choosing a model form. This submission is an attempt to teach the reader a simple but general paradigm for their models as a sum of fundamental shapes that are then shifted and scaled to fit the data.I've included a bestiary of...


Platforms: Matlab

SPtrack is a GUI (Graphical User Interface) based program written in Matlab which is used for tracking single particles and finding Diffusion properties. It works on Matlab 6 and above platforms and requires the Image Processing Toolbox and the Curve fitting Toolbox (optional). The program...


Platforms: Matlab

This file explains how to run the demo shown in the July 2005 MATLAB Digest Article "Improving an Engine Cooling Fan Using Design for Six Sigma Techniques." You will need MATALAB, Statistics Toolbox, Curve Fitting Toolbox, and Optimization Toolbox to run all of the analysis. I recommend you view...


Platforms: Matlab

The script allows to easily fit predefined complex analytical laws exploiting the potentiality of Genetic Algorithms.The script receives as input the handle to the analytic laws to be fitted to data. Such law may depend on multiple variables and several parameters. This optimization approach may...


Platforms: Matlab

LABEL is a generalization of BWLABEL: BWLABEL works with 2-D binary images only, whereas LABEL works with 2-D arrays of any class. L = LABEL(I,N) returns a matrix L, of the same size as I, containing labels for the connected components in I. Two adjacent components (pixels), of respective indexes...


Platforms: Matlab

The model relies on the theory of strength of least square curve fitting and auto regression techniques.


Platforms: Matlab