Toolboxes In Matlab

This webinar focuses on strategies and techniques for handling large amounts of data in MATLAB, including:d-deD? Understanding memory and its constraintsd-deD? Maximizing system resourcesd-deD? Minimizing your memory footprint in MATLABd-deD? Accessing memory across multiple systemsLeveraging...

This script shows how C# functions/classes and forms (gui) can be used in Matlab.The zip contains:- a example c# class (ComMatlab.cs) with different inputs and outputs functions.- a info_ComMatlab.txt with the commands how to compile and register a c# activex control- a ComMatlabtest.m for...

Example code from "Handling Large Data Sets Efficiently in MATLAB " webinar (http://www.mathworks.com/company/events/we.../wbnr30435.html) describing strategies for handling large amounts of data in MATLAB and avoiding "out-of-memory" errors. It will provide you with an understanding of the...


Platforms: Matlab

This is a complete unit testing framework in Matlab that includes test cases, test sets, automated collecting of complex test trees from the file system, automated parsing of tests to anable the user to just-write-tests, test fixtures, test callbacks, selectable and reimplementable test runners,...


Platforms: Matlab

A sequence of examples is provided that demonstrate how S-parameter measurements can be made and utilized to design a radio frequency amplifier.An HP (now Agilent) 8505A system controlled by MATLAB is used to characterize a bipolar transistor in terms of its S-parameters. These measurements are...


Platforms: Matlab

The attached zip file contains the slides, MATLAB M-files, and Simulink models that were used in the Fixed-Point Programming in MATLAB webinar from December 8, 2005 by Tom Bryan. The recorded webinar is linked off of the Fixed-Point Toolbox web page


Platforms: Matlab

This file contains slides from the talk I gave at the 1997 MATLAB User's Conference. It shows some programming patterns in MATLAB, relevant to version 5.0 and beyond. A few of the patterns may be suboptimal because of MATLAB changes since 1997.


Platforms: Matlab

Monte Carlo methods have long been used in computational finance to solve problems where analytical solutions are not feasible or are difficult to formulate. However, these methods are computationally intensive making it challenging to implement and adopt. In the last decade, advances in...


Platforms: Matlab

These are the code examples used in the "What's New for Object-Oriented Programming in MATLABdlT«" webinar, which described the new object oriented features in Release 2008a.To use the code, add the top folder to your path. See the test* M-files and associated published HTML reports for code...


Platforms: Matlab

For the Matlab users who happen to have Nike+. This simple function parses the public Nike+ API.For all the Nike+ users go to your Nike+ Dashboard, click on "Runs" and look up at the address bar for your userID (its an 8 - 10 digit number).Add Nikeplus to your pathyou can invoke the API/web...


Platforms: Matlab

In this set of files, I propose a simple CPPI (Constant Proportion Portfolio insurance) implementation. One can run the backtesting of such a strategy, playing with the parameters of the strategy such as Multiplier (Risk Exposure), or Smoothing factor.A set of slides brifly reminf the basics of a...


Platforms: Matlab

The overlap add and overlap save are the two generally implemented methods when the input is greater than the maximum processible block in MATLAB because of memory constraints.


Platforms: Matlab

This program represents a further development of the standard powerful d-deDUnlinfitd-deDt facility already in matlab. The major problem with d-deDUnlinfitd-deDt is that it can only handle fitting of one dimensional arrays (x, y) where x is the independent variable and y is the dependent one.The...


Platforms: Matlab

The code behind is just a demo of what is possible with JFreeChart using it in Matlab. I played a littlewith codesnippets I found on the web and the API-Documentation.(http://www.jfree.org/jfreechart/api/javadoc/index.html). When you want to explore the whole functionality,I think it is better to...


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

Free open source software in Matlab for the evaluation of the performance of different level-set based algorithms in the context of image segmentation. The platform gives access to the implementation of six level-set methods that have been chosen in order to cover a wide range of data attachment...


Platforms: Matlab

Editor's Note: This functionality is available in MATLAB 6.0 and later, in the "Current Directory" desktop element.Navi.m is coded by using just commands of Matlab. Therefore it works in any computer and operating system (tested in Unix and PC WIN). Navi.m displays graphic window where all...


Platforms: Matlab

M-files accompanying the webinar titled "New Approaches to Constrained Optimization in MATLAB" held on November 05, 2005These files provide what you need to run the two demos:1) The first demo is a demonstration of bound constrained optimization of non-smooth objective function using GA and also...


Platforms: Matlab

This entry contains the demo presented as part of two separate MathWorks webinars related to MATLAB-to-C code generation. In this demo, we feature a Kalman filtering algorithm for tracking moving objects and will demonstrate how to automatically generate C code from MATLAB functions.Automatic...


Platforms: Matlab

twoFigs.m is an example M-file to accompany the article "Nested Functions in MATLAB" in the January 2006 issue of The MathWorks News & Notes.twoFigs.m is an example 2-figure GUI that uses nested functions to manage the data and state. Since the data is an image, it could be large and this example...


Platforms: Matlab