Freeware Downloads for "Application Using Matlab Language"

Related: Image Processing Using Matlab - Cdma Using Matlab Command - Creating Gui Oracle Using Java Language - Digital Image Processing Using Matlab - Digital Image Sharpening Using Matlab

Files used in the Webinar "Developing a Financial Market Index Tracker using MATLAB OOP and Genetic Algorithms" The zip file contains the data and files used to develop an application to track a market index using Genetic algorithm. The initial algorithm is then wrapped up in MATLAB OOP to create an applcation, which can then be tested against the data. Also included aresimple demo files of both genetic algorithms and MATLAB OOP..

  • Platform: Matlab, Scripts
  • Publisher: Mark Hoyle
  • Date: 19-03-2013
  • Size: 2099 KB

A .zip file contains a series of scripts that were used in the MathWorks webinar "Using MATLAB to Develop Portfolio Optimization Models." The scripts generate 3D efficient frontiers for a universe of 44 stocks with time as the third axis. Additional scripts perform various ex-ante and ex-post analyses. Results are generated with and without market adjustments in the data. A readme.txt. file in the .zip folder describes each script and how to use it..

  • Platform: Matlab, Scripts
  • Publisher: Bob Taylor
  • Date: 27-05-2013
  • Size: 205 KB

Slides, software, and data for the MathWorks webinar, "Using MATLAB to Develop Macroeconomic Models." The file moneydemo.zip contains a file moneydemo.pdf with slides for the webinar and a collection of MATLAB scripts and helper functions to perform a number of macroeconomic analyses. The main script is called moneydemo.m. Instructions and some suggestions for tweaking the MATLAB code are in the file readme.txt..

  • Platform: Matlab, Scripts
  • Publisher: Bob Taylor
  • Date: 08-06-2013
  • Size: 266 KB

"Dynamical Systems with Applications using MATLAB" covers standard material for an introduction to dynamical systems theory. The text deals with both discrete and continuous systems. There are applications in mechanical systems, chemical kinetics, electric circuits, interacting species, economics, nonlinear optics, biology, neural networks and materials science, for example. These MATLAB programs have been written to supplement the textbook, and give the reader a real hands-on experience. The text is aimed at senior undergraduates, graduate students, and working scientists in industry.

  • Platform: Matlab, Scripts
  • Publisher: Stephen Lynch
  • Date: 13-03-2013
  • Size: 92 KB

Programs from the third edition of 'Advanced Mathematics and Mechanics Applications Using MATLAB', by Howard Wilson, Louis Turcotte and David Halpern, CRC Press, 2003, ISBN 1-58488-262-X. Contains about 12,000 lines of MATLAB programs and utilities emphasizing problems in engineering, applied math, and physics..

  • Platform: Matlab, Scripts
  • Publisher: Howard Wilson
  • Date: 23-04-2013
  • Size: 348 KB

This demo shows a simple program on the video surveilance using MATLAB and some toolboxes. Features: 1. Run in 2 modes --> Monitoring and Playback 2. Users are allowed to change the threshold value and the snap counter for the decision on snapping the frame. Limitation: 1. Used of while loop for a continuos image capture, hence, in order to stop the monitoring mode, the user might need to press the stop button for few times. Used of timer will solve this problem 2. The captured frames are saved in memory for this version 3.

  • Platform: Matlab, Scripts
  • Publisher: Tan Chin Luh
  • Date: 12-03-2013
  • Size: 143 KB

A Zip file containing the examples that were used in the MathWorks webinar: "Pricing Derivatives Securities using MATLAB". Highlights: * Pricing a portfolio of vanilla options using Black-Scholes, a Binomial Tree and Monte Carlo simulation. * Pricing exotic options using the implied trinomial tree (ITT) method * Hedging using derivatives * Pricing interest rate derivatives using the BDT model.

This is a web application to calculate and plot Black-Scholes option value using MATLAB algorithms. These algorithms are built into Java .jar files using MATLAB Builder for Java. The code shows how to call these algorithms from the Java web application, which runs within Apache's Tomcat servlet container/Web server. Detailed instructions are in the readme file..

  • Platform: Matlab, Scripts
  • Publisher: Sachin Nikumbh
  • Date: 26-05-2013
  • Size: 31 KB

An open source,platform independent,technical web programming language using MATLAB in background, that supports 3-Tier Architecture (Web-Business-DB) including Distributed Computing and Parallel Processing via remote procedure calls and web services..

MATLAB is a software environment and programming language with over 1,000,000 users and is used to generate arbitrary and standard waveforms, configure and control instruments, build automated test applications, and analyze and visualize data from other instruments. MATLAB only supports instrument communication when you use MATLAB with its Instrument Control Toolboxd-OC?D?. This example uses MATLAB to generate an arbitrary waveform (IQ data), configure the instrument, download the waveform to the Agilent source, and instruct the instrument when to source the waveform.

  • Platform: Matlab, Scripts
  • Publisher: Vinod Cherian
  • Date: 01-06-2013
  • Size: 10 KB

A GENERALAZED CONVOLUTION COMPUTING CODE IN MATLAB WITHOUT USING MATLAB BUILTIN FUNCTION conv(x,h).

  • Platform: Matlab, Scripts
  • Publisher: imran shezad
  • Date: 22-06-2013
  • Size: 10 KB

A homebanking application using the german HBCI standard. All information (accounts, transactions, addresses,..) are stored into an embedded database (mckoi). language: Java, A (SWT-UI). Runs as a plugin within the Jameica framework..

  • Platform: Linux, Unix, Windows
  • Publisher: willuhn.de
  • Date: 02-06-2012
  • Size: 961 KB

This project is intended to host GTD "plugins" created for the NoteStudio application (http://dogmelon.com.au/NoteStudio.shtml) developped using Python language, or some win EXE when applicable..

This application illustrates natural language processing using tagged grammars and statistical classification. Outputs are shown with the EMMA specification of the W3C. A viewer is provided to allow for more user-friendly viewing of EMMA results..

The DEMO includes 5 feature selection algorithms: * Sequential Forward Selection (SFS) * Sequential Floating Forward Selection (SFFS) * Sequential Backward Selection (SBS) * Sequential Floating Backward Selection (SFBS) * ReliefF Two CCR estimation methods: * Cross-validation * Resubstitution After selecting the best feature subset, the classifier obtained can be used for classifying any pattern. Figure: Upper panel is the pattern x feature matrix Lower panel left are the features selected Lower panel right is the CCR curve during feature selection steps Right panel is the classification results of some patterns.

Digital Signal Processing: Principles and Applications examples and exercises using MATLAB Companion S.

Demo files from the 30 August 2007 Webinar - Reliability Analysis and Robust Design using MATLAB(R) Products" Webinar direct link: http://www.mathworks.com/wbnr14894 You will need MATLAB and Statistics Toolbox, Optimization Toolbox, and Simulink to run the Demo..

  • Platform: Matlab, Scripts
  • Publisher: Stuart Kozola
  • Date: 01-03-2013
  • Size: 10 KB

Files used in the Webinar: Build a Portfolio Analysis Production Application in MATLAB using Object-Oriented Programming Techniques. The focus of this demo is to introduce the design and development of a complete MATLAB application from concept through to completion. The GUI-based tool provides functionalities to import price series from various data sources; and to define complex optimization constraints on the data. Furthermore, the tool provides extensive interactive visualization capabilities for the optimization results and key risk metrics.

  • Platform: Matlab, Scripts
  • Publisher: Patric Schenk
  • Date: 05-01-2013
  • Size: 522 KB

This is a video demonstration tutorial to be as an introduction to use MATLAB Excel Builder. The attached file contains three m-file programs and video file to show you how to make these programs active into excel by using MATLAB excel builder..

  • Platform: Matlab, Scripts
  • Publisher: Saqer Ali Khalil
  • Date: 09-01-2013
  • Size: 3011 KB

This project will hope to provide an application (using the Java coding language) that will manage facts and citations used in writing research reports. The application will have the ability to manage facts and create citations in accepted formats.
Java Research and Citation Assistant License - Academic Free License (AFL).

Application Using Matlab Language: Freeware | All

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