Probability Statistic

This program performs a Monte Carlo simulation of a coherent QPSK communication system and plot the error probability performance over additive whit Gaussian noise channel. The detection is based on correlation metric. Simulation is performed for 10,000 bits and measurements are made accordingly. Platforms: Matlab

The STP Percolation program generates occupied lattice sites with probability p and then determines the clusters of occupied sites. The purpose of this program is to demonstrate some of the important properties of percolation, especially near the geometrical phase transition. The default system... Platforms: Matlab

It is a matlab function that codes a string of char with Arithmetic coding.res=arithmetic_code(alphabet, distr_pr, string)'alphabet' is a vector that contains the char used in the string 'string'; 'string' is the string to codify; 'distr_pr' is the probability distribution of the alphabet's... Platforms: Matlab

The Expectation-Maximization algorithm (EM) is widely used to find the parameters of a mixture of Gaussian probability density functions (pdfs) or briefly Gaussian components that fits the sample measurement vectors in maximum likelihood sense [1]. In our work, the expectation-maximization (EM)... Platforms: Matlab

This include a MEX-DLL file which is an implementation of R L Siddon's refined method by Jacob for the calculation of ray path integral in PET/CT system image reconstruction. This is based on Line Intersection Length model to calculate probability matrix elements. Inputs are the LOR number and a... Platforms: Matlab

GLDM calculates the Gray level Difference Method Probability Density Functions for the given image. This technique is usually used for extracting statistical texture features of a digital mammogram.For details on the Gray level Difference Method, refer the following paperJ. K. Kim and H. W. Park,... Platforms: Matlab

This code implements and plots the exact numerical solution of the Ornstein-Uhlenbeck process and its time integral. The numerical method here used was published by D.T. Gillespie in 1996 in the journal Physical Review E.The probability density function and its plot for the Ornstein-Uhlenbeck... Platforms: Matlab

Revision of the version inspired by Jason Breslau, through inspection of the list of special words from http://www.mathworks.com/access/helpdesk/help/techdoc/index.html?/access/helpdesk/help/techdoc/ref/funcalpha.html ://http://www.mathworks.com/access/hel...funcalpha.html which however also... Platforms: Matlab

SpikeTrain is a GUI summarizing several functions for the analysis of electrophysiological data.It provides multiselection of data, so a whole bunch of data can be analyzed at once.For spike discrimination the user can select an upper and a lower threshold.Threshs can be set directly in the... Platforms: Matlab

General implementation of matlab version of Viterbi algorithm specifically written for gene structure finding problem in mind. However, it can be modified to suit the goal of a user.Input:Transition Probability MatrixEmission Probability MatrixInitial Probability MatrixStates Matrix (ie.... Platforms: Matlab

Wigner3j(j1,j2,j,m1,m2,m) returns the Wigner 3j-symbol, where j1, j2, j, m1, m2, and m are half-integers. Physically, the Wigner 3j-symbol is closely related to the Clebsch-Gordon coefficient , the square of which is the probability that a system of two particles with angular momentum j1 and j2... Platforms: Matlab

A Dynamic environment is one in which either the obstacles or the goal or both are in motion. In most of the current research, robots attempting to navigate in dynamic environments use reactive systems. Although reactive systems have the advantage of fast execution and low overheads, the tradeoff... Platforms: Matlab

The following program is written to simulate a randomly generated message under BSC(p) channel. It examines whether or not the generator polynomial is strong enough to be used at a given packet size and crossover probability p. Error patterns are rondom. 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

This function implements bivariant Gaussian kernel density estimation. It can be used to estimate bivariant probability density function (pdf), cumulative distribution function (cdf) and inversed cdf (icdf) from a set of random data. The code is programmed in a way to be suitable for beginners to... Platforms: Matlab

To run the GUI we need to unzip the content of archive in the current Matlab Directory. Run M-file and chose to display Time Evolution versus Probability Density for fixed year and banc. Platforms: Matlab

Performs neural spike pattern analysis on extracellular potentials acquired with TDT's System3 and OpenEx software.More on current functions:All-Order Inter-Spike Interval Histogram.Inter-Spike Interval Histogram for any order or combination of orders.First-Order Inter-Spike Interval... Platforms: Matlab

Analysis of Means (ANOM) is a statistical procedure for troubleshooting industrial processes and analyzing the results of experimental designs with factors at fixed levels. ANOM is an alternative to ANOVA for a fixed effects model. Unlike ANOVA only determines if there is a significant difference... Platforms: Matlab

Speech analysis and parameter extractionShort-term analysis, frames and windowsTime-domain analysis: energy, zero-crossings, statistic parameters, autocorrelationFrequency-domain analysis: spectra and spectrogramsCepstral analysisLinear prediction analysisPitch and formant estimationto run the... Platforms: Matlab

It can perform a one or two sided test.The script outputs the probability of observing the resulting value of "s" or "a" value, given "n" total outcomes with a probability of success of "p". Platforms: Matlab