Recognition Of Digits In Matlab

To compute the Euclidean separation (L2 norm) between two sets of points in MATLAB can be slow and/or memory-hungry. In some cases (most particularly, if you are working with 2D, 3D or 4D data), this function will do it 2-4 times faster than the fastest m-code I've seen (due to Germano Gomes) and...

Generation of video in matlab, with the means of playing it realtime in a separte thread via VLCThis is done with perceptual studies especially in mind.The function generateMotionStimulus shows the principle of making proper motion based stimulus without bias stemming from the discrete nature of...

The code given shows how Weka algorithms can be run in parallel across distributed computers using Matlab to take advantage of available hardware and quicken algorithm completion time on multiple data sets or parameter sets.Parallel processing of Weka algorithms is handled here in Matlab as...


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 goal is to write a MATLAB code which runs a script in order to manipulate a stream composittion in HYSYS. This can be done by doing the following procedure:First a script should be made in HYSYS (Tools -> Script Manager -> New)Then, manually change the stream composition and stop recording...


Platforms: Matlab

This is a manuscript of the paperLawrence F. Shampine, Mark W. Reichelt, and Jacek A. Kierzenka,Solving Index-1 DAEs in MATLAB and Simulink,SIAM Review, Vol. 18, No. 3, pp. 538-552, 1999.The paper describes mathematical and software developments needed for effective solution of differential...


Platforms: Matlab

Most of the kdtree code for matlab has been implemented via mex files. I decided to come up with a purely matlab based implementation and so here it is .... The code is obviously expected to be slower than some of the c/c++ implementations that are out there but the fact that its implemented in...


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

Shock filters are based in the idea to apply locally either dilation or erosion process, depending on whether the pixel be-longs to the influence zone of a maximum or a minimum.The decision between dilation and erosion is made using the sign function (also called the signum) s in set {-1, 0, +1}...


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

1. Detailed Tutorial on Kalman Filtering Techniques in Matlab2.Computes the Kalman gain and the stationary covariance matrix using the Kalman filter of a linear forward looking model.


Platforms: Matlab

This example calculates the bit error rate (BER) of a BluetoothdlT« or 802.11b communication link interfered with by another 802.11b or Bluetooth transmitter. It uses the new MATLABdlT« object oriented programming features released in R2008a.The main function btint and accompanying classes...


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

Run processing sketches from Matlab or MAX/MSP.The Processing class wraps a sketch (PApplet) in a window (Frame) and provides methods to show and dispose sketches.First, you need to make sure Matlab has acces to the processing code in "core.jar". I have included an install script to add...


Platforms: Matlab

This zip file includes the presentation and demonstration files for the recorded webinar "What's New In MATLAB 7.2, Part of Release 2006a".


Platforms: Matlab

Solving IVP ODEs using Symbolic MATH "dsolve", Laplace Transforms and MuPAD for analytic solutions and ODE45, ODE113 and Simulink for numeric solutions of the given 2nd order ODE is shown in this script.To execute the files PUT all 3 files in MATLAB current directory and execute the *.m file...


Platforms: Matlab

The zip file contains several matlab files. These files implement the optimal vlassifier (optimal_classifier.m), a sub-optimal classifier (SOS_STBC_Classifier.m) which is based on Second Order Statistic and a low-complexity sub optimal code-parameter classifier (CP_Classifier.m). See reference...


Platforms: Matlab

A demo of some features of the jzy3d 3d graphics package from http://www.jzy3d.org/This PDF describes code for displaying jzy3d OpenGL-based 3D graphics in MATLAB. Code to run these demos is available as a Java jar file athttp://sourceforge.net/projects/waterloo/files/jzy3d uses the JOGL Java...


Platforms: Matlab

Learn about how pokies have fared in Australia in this eBook from its inception to the present. You will also learn about how people have reacted to the introduction of pokies, including the reactions and regulations from politicians. A basic history of pokies is also available to view in this...


Platforms: Windows