Gaussian Calculationsd

Quantum Chemistry Import Tool is a django application that parses the output file of quantum chemistry software as NWChem, Octopus, Gaussian, etc. The result can be saved in relational database.

The Jakesd-deOao method invoke the central limit theorem to show that the base-band signal received from a multipath fading channel is approximately a complex Gaussian process when the number of paths, L is large.In the m-fils rayleigh fading is Simulated with 3 different speed when the carrier...

Mutual information I(X,Y) measures the degree of dependence (in terms of probability theory) between two random variables X and Y. Is is non-negative and equal to zero when X and Y are mutually independent. Conditional mutual information I(X,Y|Z) is the expected value of I(X,Y) given the value of...


Platforms: Matlab

Gaussian kernel regression and local linear Gaussian kernel regression with variable window widthThis is the same as ksr and ksrlin (file File ID: #19195 and #19564), but instead of using the same bandwidth for each point, it uses a variable bandwidth given by the distance of each point to its...


Platforms: Matlab

Fuzzy numbers and basic fuzzy arithmetics (+, -, *, /, 1/x) implementation written in Java. Should be used as a library, but it also has a GUI which demonstrates its capabilities (using SWT widgets). Features: * Implements L-R fuzzy numbers and Decomposed fuzzy numbers * Linear, Gaussian,...


Platforms: Mac

GAUSSian REALIZation of a random variable with standard deviation sigma and correlation length lambda


Platforms: Matlab

Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.Please visit http://iew3.technion.ac.il/CE/ for more informationsi) Please compile mex-files by the mexme_ce_gauss.m (if compiler is not setup, run...


Platforms: Matlab

The algorithm takes in a 1-D signal and finds the Gaussian derivative of it with the given kernel size and sigma, to provide the zero crossings. The zero crossings are then analyzed to give peaks and valleys. In order to remove very closely situated peaks and valleys, a width (provided by the...


Platforms: Matlab

Calculate and plot BER curve against SNR for BPSK Modulation in Gaussian Environment.It calculates 100 errors to Calculate BER for every SNR value to ensure better approximation.I hope that this help students of signal processing and communications alot.


Platforms: Matlab

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

Simulation of a gaussian pulse propagated in free space through 1000 um, using finite differences.Just run the script and you'll get a surface which is made up of the pulse propagated at 1 um steps.


Platforms: Matlab

A uniform random number generator is used to generate the binary information sequence from the binary data source. The sequence of d-de?0d-deOaos and d-de?1d-deOaos is mapped into sequence of +E and d-deOCtEwhere E represents the signal energy. E may be normalized to unityThe Gaussian noise...


Platforms: Matlab

This toolkit has two main purposes.1. Decomposition and visualization of paraxial beams in Hermite-Gaussian and Laguerre-Gaussian bases. (These functions are located in the subdirectory "transverse.")2. Propagation of such beams through optical systems including two-mirror fabry-perot cavities....


Platforms: Matlab

The PDF plot is for Gaussian components. I am expecting only two peaks corresponding to two Gaussian components. But over the time, there are multiple peaks seen in the plot even if the plot overall looks approximately like a Gaussian curve.


Platforms: Matlab

The provided functions demonstrate a histogram-based measure for class separability, given the samples from two classes (binary classification problem). The proposed error classification estimation method is described in (B) and it is based on estimating the pdf of each class using histograms....


Platforms: Matlab

On the gaussian fit i used "polyfit" which gives you en absolut one solution, but have some problems fitting non-linear model.In the attached file example i use "nlinfit", which can fit any kind of function that you want. the problem is that you need to give here a starting point."main.m" include...


Platforms: Matlab

The function's algorithm uses Gaussian integer factorization and variable precision integers.


Platforms: Matlab

GaussSum parses the output of ADF, GAMESS, GAMESS-UK, and Gaussian to extract useful information: progress of geometry optimisation, UV/IR/Raman spectra, MO contributions and more. Features . Convolute UV-Vis spectrum . IR and Raman visualization


Platforms: *nix

This script calculates BER for a numebr of SNR values in gaussian environment for QAM 16 Modulation.It calculates 100 errors for each BER measuremnet for better results.I hope this will be helpful for students of signal processing and communications alike.


Platforms: Matlab

Computes the Gaussian function in 1D:exp(-log(2)*(2*(x-x0)./FWHM).^(2*floor(abs(order))));Where:x = Co-ordinatex0 = Centre of functionFWHM = Full Width Half Max of the functionorder = Gaussian orderNormal Gaussian is of order 1.Note that FWHM = (1/e Half Width)/sqrt(2*log(2))log is the natural log.


Platforms: Matlab