Gaussian Classifiers

Modular toolkit for Data Processing (MDP) is a Python data processing framework. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA),...

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.

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...


Platforms: Matlab

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...


Platforms: Matlab

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...


Platforms: Matlab

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

The Gaussian Wave Packet: Step Scattering model simulates the time evolution of a free Gaussian wave packet in position space when it is incident on a potential energy step. The position-space wave functions are depicted using three colors on the graph: black which depicts the absolute square of...


Platforms: Mac

A simple software to extract useful data from gaussian log files.


Platforms: Windows, Mac, Linux

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


Platforms: Windows, Mac, Linux

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...


Platforms: Matlab

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.


Platforms: Matlab

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.rarThe matlab files enclosed in this toolbox can be used to tabulate gain functions for log-spectral magnitude MMSE...


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

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

Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds Usage ------- [logl , M , S , P] = fsmem_mvgm(Z , [M0] , [S0] , [P0] , [option]); Inputs ------- Z Measurements (d x N)...


Platforms: Matlab

The code is explained in the article: Okunev, Pavel, "Fast Computation of the Economic Capital, the Value at Risk and the Greeks of a Loan Portfolio in the Gaussian Factor Model" (July 1, 2005). http://ssrn.com/abstract=758505 This implements one factor Gaussian model. [pd]=pdgs(L,w,p,LL,N) L =...


Platforms: Matlab

The file contains a 2 x 495 matrix that can be read using the MatLab "csvread" command. Requirements: - MATLAB 7.8 or higher


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

This script computes the definite integral of a user defined function over the interval [a, b]. The user can specify the number of Gauss points (1


Platforms: Windows, Mac, *nix, Python, BSD Solaris

Gabedit is a Graphical User Interface to Gamess-US, Gaussian, Molcas, Molpro, MPQC and Q-Chem computational chemistry packages.Gabedit includes graphical facilities for generating keywords and options, molecule specifications and their input sections for even the most advanced calculation...


Platforms: *nix, C/C++, BSD

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