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This demo shows how you can create a COM component from a MATLAB code using MATLAB COM Builder. This demo compiles a function that uses the basic curve fitting capability of MATLAB into a COM component and uses it in an external Visual Basic project.

Download the file and unzip it in on your local drive. The word document contained in the archive shows how to build and use the component.



Non Linear curve fitting by primary model



This example solves a complex curve fitting problem that involves parameter pooling and stratification using a nonlinear least-squares approach. This example also takes advantage of some new language features with MATLAB 7.

* Anonymous...



a simple matlab code to apply trail and error method .



Learn how to use the Profiler tool, vectorized functions, and other tricks to writing efficient MATLAB code. This article includes how to convert any array into a column vector, bounding a value without if statements, and repeating/tiling a vector...



The zip file contains the demo shown on August 7, 2007 for the Webinar titled "Data Analysis with Statistics and Curve Fitting Toolboxes". The demo requires Statistics and Curve Fitting Toolboxes. It is recommended that the webinar is...



The Ezyfit toolbox for Matlab enables the user to perform simple curve fitting of one-dimensional data using arbitrary (non linear) fitting functions.

It will add a new menu to the MATLAB interface, which will make it more easily to...



This is a demo of MATLAB Builder for Excel. This demo explains how one can compile MATLAB code into an Excel based COM component using MATLAB Excel Builder and use the same in Excel VBA. This demo compiles a MATLAB code that depicts a curve...



These mfiles may seem trivial looking at Matlab's comprehensive curve fitting toolbox, but I provide these mfiles with the students in mind. It can be a good way to do fast curve fitting without the fancy toolboxes. The explicit differential...



FitChiTool provides an interface similar to the Curve Fitting Toolbox to the fitChiSquare function.

This allows you to perform fits using chi-square when measurement errors are known on linear or nonlinear models. It allows allows you...



The file includes mexfunction code calling "Kinect for Windows SDK" to receive depth data and color image from Kinect and a Matlab code to reshape the information matries. Please see the Readme.txt for usage.



The MATLAB Compiler (v4, R14 onwards) can package MATLAB code into an executable or C/C++ shared library. Calling a C shared library from Fortran, however, can be difficult. The mixed-language issue is C vs. Fortran calling conventions. This is an...



This Matlab code implements a new level set formulation, called distance regularized level set evolution (DRLSE), proposed by Chunming Li et al's in the paper "Distance Regularized Level Set Evolution and its Application to Image...



There is no selection in Curve Fitting Toolbox that the property of the plot could be changed, for example, log plot, loglog plot. This is useful expecially when you are fitting a log or exponential curve. Help included.



This function allow you to perform 2d interpolation for matlab code that have to be compiled to C.



Matlab-invoked Perl code which cleans up syntax in Matlab code you may have downloaded or inherited:

1) gets rid of trailing commas in "switch", "case", "if and "else" statements.

2)...



Simple user interface with possibility to pick any color and determine MATLAB code for chosen color. It makes possible to copy determined color code en paste it to your color specification within m-file of other program code. This color...



Matlab code for the algorithm published in

V. G. Reju, S. N. Koh and I. Y. Soon, Convolution Using Discrete Sine and Cosine Transforms, IEEE Signal Processing Letters, VOL. 14, NO. 7, JULY 2007, pp.445-448.



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...



Most of the time we use Simulink to simulate a PID controller. But this files run it as a Matlab code.
Extract the files to the working directory and just run the file PID_ctrl_call.m.
You can vary the PID tuning parameters in the file...