Freeware Listing: Gaussian

This program calculates BER curve against SNR for QPSK Modulation in Gaussian Environment. It calculates 100 errors for for each SNR value before calculating BER. This gives a good approximation of BER. I hope this will help students alot. Please feel free to contact me should anyone has any queries..

  • Platform: Matlab, Scripts

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.http://www.downloadplex.com/index.php?a=admin&b=programs&os=Scripts&add.

  • Platform: Matlab, Scripts

A recursive implementation of the Gaussian filter. This implementation yields an infinite impulse response filter that has 6 MADDs per dimension independent of the value of sigma in the Gaussian kernel. Recursive Gabor filtering for 1D and 2D signals. For more information please visit: http://utenti.lycos.it/matlab/gabor.htm References: For a complete publication list of Lucas J. van Vliet please visit the following URL: http://www.ph.tn.tudelft.nl/~lucas/publica...papersLJvV.html.

  • Publisher: Luigi Rosa
  • Date: 04-05-2013
  • Size: 10 KB
  • Platform: Matlab, Scripts

G3 = gauss3D(sz_X, sz_Y, sz_Z, a, prec); returns a 3 dimensional matrix being a gaussian bell curve where the width in the (x/y/z)-dimension is proportional to 1/a(1), 1/a(2) and 1/a(3), respectively. "prec" is the data precision. Default is a=[2.5 2.5 2.5] and prec='double' Examples: Cubic-shaped filter with 400 Px edge length and default width: G3 = gauss3D(400); 2 dimensional Gaussian: G2 = gauss3D(400,200,1); Anisotropic Gaussian: G3 = gauss3D(200,200,200,[2.5 8 4]); reduced data precision saves memory: G3 = gauss3D(500,600,500,2.5,'single');.

  • Platform: Matlab, Scripts

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..

  • Platform: Matlab, Scripts

The Free Gaussian Wave Packet model simulates the time evolution of a free-particle Gaussian wave packet in position and k (momentum) space. The position-space and k-space (momentum-space) wave functions are depicted using three colors on the graph to depict the absolute square of the wave function, the real part of the wave function, and the imaginary part of the wave function. The user may change the wave packet's initial width, its initial average position, and its initial average k value (momentum).

The Free Gaussian Wave Packet model was created using the Easy Java Simulations (EJS) modeling tool.

  • Platform: WinOther

GMM-GMR is a light package of functions in C/C++ to compute Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR). It allows to encode any dataset in a GMM, and GMR can then be used to retrieve partial data by specifying the desired inputs..

  • Platform: Linux, Unix, WinOther

Gaussian Output Tools is a package of simple scripts to extract data from Gaussian output files..

  • Platform: Linux, Mac OS X, WinOther

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..

  • Platform: Matlab, Scripts

This function returns coefficients of Gaussian lowpass filter. Advantages of Gaussian filter: no ringing or overshoot in time domain. Diasadvantage: slow rolloff in frequency domain. Pass SR=sampling rate, fco=cutoff freq, both in Hz, to the function. Coefficients for FIR filter of length L (L always odd) are computed. This symmetric FIR filter of length L=2N+1 has delay N/SR seconds. Examples of use: Compute Gaussian filter frequency response when SR=1000,fco=50 Hz: freqz(gaussfiltcoef(1000,50),1,256,1000); Filter signal X sampled at 5kHz with Gaussian filter with fco=500: y=filter(gaussfiltcoef(5000,500),1,X); SR,fco are not sanity-checked.

  • Platform: Matlab, Scripts

The GMM returns the cluster centroid and cluster variances for a family of points if the number of clusters are predefined. The centroid and variance can then be passed to a Gaussian pdf to compute the similarity of a input query point with reference to given cluster..

  • Publisher: Vikram T N
  • Date: 18-03-2013
  • Size: 10 KB
  • Platform: Matlab, Scripts

The Gaussian Kernel can be changed to any desired kernel. However such a change will not dramatically improve results. This is a variant of ridge regression using the kernel trick (Mercers Theorem)..

  • Platform: Matlab, Scripts

Toolbox for log-spectral magnitude MMSE estimators under super-Gaussian densities. The toolbox can also be downloaded from: http://ict.ewi.tudelft.nl/~richard/log_spe...per_gaussV1.rar The matlab files enclosed in this toolbox can be used to tabulate gain functions for log-spectral magnitude MMSE estimators under an assumed Generalized-Gamma model for the clean speech magnitude DFT coefficients. For the theory behind these estimators and constraints on the parameters we refer to the article [1] R. C. Hendriks, R. Heusdens and J. Jensen, "Log-Spectral Magnitude MMSE Estimators under Super-Gaussian Densities", Interspeech, pp.

  • Platform: Matlab, Scripts

Fast Algorithm estimating the number of sinusoids in a white Gaussian noise. This algorithm use a sub-space method based on chi-square statistics of eigen values of the Autocorrelation Matrix. Example : clear, close all hidden N = 512; L_vrai = 4; fe = 2000; F = (0:(fe/2)/(N/2-1):(fe/2)); snr = [-10 -10 -10 -10]; f = [25 230 500 780]; n = 32; prob = 0.95; y = zeros(1,N); t = (0:(N-1))/fe; for l = 1:L_vrai y = y + sqrt(2)*10^(snr(l)/20)*sin(2.*pi.*f(l).*t + 2.*pi.*rand); end s = y + randn(1 , N); [L , R] = nbsinu(s , n , prob);.

  • Platform: Matlab, Scripts

A MATLAB file used for generating pulses of various kinds including are gaussian, square, triangle, monocycle, biexponential, mexican hat, sinc, double sinc, sinc squared, sweep, and windowed sweep. Inputs control the length, sampling frequency, and decay, along with optional arguments for modulation and frequency control on some pulse shapes. The program has been used for an assortment of applications including, DSP, seismology, acoustics, and communication modeling..

  • Publisher: Philip Top
  • Date: 17-05-2013
  • Size: 10 KB
  • Platform: Matlab, Scripts

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) algorithm for Gaussian mixture modeling is improved via three statistical tests: a) A multivariate normality test, b) a central tendency (kurtosis) criterion, and c) a test based on marginal cdf to find a discriminant to split a non-Gaussian component. -Input Buttons Button 1: Open Data file (.mat) or (.

  • Platform: Matlab, Scripts

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..

  • Platform: Matlab, Scripts

The zip file includes the next programs: BPM_free_space.m - Propagation of a gaussian pulse in free space BPM_triangle.m - Propagation of a gaussian pulse in a triangle index profile waveguide BPM_2step.m - Demonstration of the evanescent waves phenomenon in parallel rectangular waveguides BPM_Y_Branch.m - FFT-BPM in a Y-branch coupler BPM_mach_zender.m - FFT-BPM simulation of a mach-zender optical switchhttp://www.downloadplex.com/index.php?a=admin&b=programs&os=Scripts&add.

  • Platform: Matlab, Scripts

This program simulates Gaussian beam propagation through a Fabry-Perot interferometer with adjustable error angles. The result is the intensity behind the cavity at a screen perpendicular to the propagation direction. It contains a GUI for setting the parameters and viewing the result..

  • Platform: Matlab, Scripts

Matlab files include Gaussian numerical quadrature, Newton's method for finding roots, finite element method for 1D wave equation, and pattern formation (KPP and a system of two coupled PDEs)..

  • Platform: Matlab, Scripts

Gaussian: Freeware | All

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