Mixed Distribution

This is the RoboCup Mixed Reality Project: a standard research and educational platform integrating cutting edge and low cost watch technology into a miniature multi-robot system which mixes reality and simulation.

This function calculates the probability under the normal distribution curve, plots the graph and the area calculated.Normaldistribution calculating the area under a normal distribution curve from -ve infinity upto point x. Input: x : point on the normal distribution curve mean : mean of the...

This ZIP-file contains the demonstration files used during the "Analog and Mixed-Signal Circuit Modeling with Simulink Product Family" webinar presented on June 22, 2004.


Platforms: Matlab

Backward/ forward sweep algorithm for three-phase load-flow analysis of radial distribution systems. In the backward sweep, Kirchhoff's Current Law and Kirchhoff's Voltage Law are used to calculate the upstream bus voltage of each line or a transformer branch. In the forward sweep, the voltage at...


Platforms: Matlab

Solves the mixed integer linear problem:min c'*xs.t. A*x


Platforms: Matlab

This program uses an Excel data file "DATA.xls" as an input to the program. the input file consists these worksheets: 1.input load data (active power of each load block and their X-Y cooedinates 2. present transformers and their capacities in kVA 3. candidate points for new transformers 4....


Platforms: Matlab

This is an application of the Greedy Algorithm and the Local Search for finding a solution for the SC Distribution Network problem.We dealt with one level SC composed of a set of factories and a set of Sales Points, each sales point has a demand at a certain time, each factory has a production...


Platforms: Matlab

Probability Distribution Plotter (ProbDistPlot) is a GIU tool which plots statistical distributions commonly used in reliability engineering. The program plots the probability distribution function (pdf), the cumulative distribution function (cdf) and the hazard rate of each distribution. The...


Platforms: Matlab

An electron gun produces particles with specified rates and random velocities and direction, some of them collide with upper plate that its position and size are defined. This program simulate this process and shows what percent of particles collide with the plate and also show the distribution...


Platforms: Matlab

There are two issues with the Pearson type IV distribution: (I) the complex gamma function entering the normalization constant in the probability density function (pdf) and (II) the complex Gauss hypergeometric function entering the cumulative distribution function (cdf). For the complex gamma...


Platforms: Matlab

The pseudo-Wigner distribution function provides space-frequency information from a given image. In this application, image data can be locally analyzed in any desired direction by the use of an sliding 1-D small window. Calculation time is greatly decreased this way, converting the PWD in a...


Platforms: Matlab

All the information required to compute the random sequence are extracted from the pp-form structure, in particular the lowest and the highest generated numbers corresponds to the first and last break of the pp form respectively.RANDPDFS uses FNINT to compute the cumulative distribution function,...


Platforms: Matlab

an perform a mixed-model ANOVA on simple designs with one between-subjects factor and one within-subjects (repeated-measures) factor and either display a results table or simply return the values within.See comments at top of file for full information.


Platforms: Matlab

This function retrieve the student distribution value for a given alpha and degree of freedom value.Inputs: a = can be any alpha value n = number of data pointsOutput: st = value of the student distribution alpha = the alpha value used perc = the corresponding percentageComment: a can be...


Platforms: Matlab

EM estimation of parameters of bi variate NIG distribution.The test file:1. Simulate biNIG sample with use of randraw.m (http://www.mathworks.com/matlabcentral/fileexchange/7309)or invgrnd.m (http://www.mathworks.com/matlabcentral/fileexchange/10934) .2. Calls EMBIVNIG.m (values of starting...


Platforms: Matlab

RANDPDF returns the matrix of random numbers from probability density distribution defined in p and px. p are the density (the y axis) and px are the value (the x axis) of the pdf. p and px must be of the same length. dim define the output matrix dimensions, for example dim=[100 3] define the...


Platforms: Matlab

Return random variable(s) with linear distribution within [0,1] and 0 outside; m specifies the slopeIn other wordP(x)= mx+b if 0


Platforms: Matlab

EMPRAND generates random numbers from empirical distribution of data. This is useful when you do not know the distribution type (i.e. normal or uniform), but you have the data and you want to generate random numbers form that data.The idea is to first construct cumulative distribution function...


Platforms: Matlab

Functions for Rice/Rician PDF: summary statistics (mean and variance), generating random samples, and simple moment-matching to fit the distribution to data.Similar to e.g. normpdf, normstat, normrnd and normfit from the MATLAB statistics toolbox, but for the Rice distribution, which is useful in...


Platforms: Matlab

Creates a number of samples from a specified number of dimensions and centers them around a given mean, and within a given covariance range. You might not find it very useful, but hey, I need something to do this so why not.To use:You need to generate 1000 samples from a 3 dimensional Gaussian...


Platforms: Matlab