Maximization

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)...

This is a parallel implementation of the Expectation Maximization algorithm for multidimensional Gaussian Mixture Models, designed to run on NVidia graphics cards supportingCUDA. On my machine, it provides up to 170x performance increases (16 dims, 16 clusters, 1000000 data points).See the report...

In this document, the problem of OFDMA multi-user resource allocation based on MMSE channelestimation is considered. Maximization of system capacity, based on available error-free instantaneousestimated channel state information at the transmitter, is the goal. Optimal power distribution...


Platforms: Matlab

MCompressor provides refined compression with volume maximization. It features an adjustable compression shape, giving you the power to set custom smoothing and create dynamic sound effects, and a range of up-sampling options for a crystal clear sound. Get MCompressor and take it for a test...


Platforms: Windows

MCompressor provides refined compression with volume maximization. It features an adjustable compression shape, giving you the power to set custom smoothing and create dynamic sound effects, and a range of up-sampling options for a crystal clear sound. Get MCompressor and take it for a test...


Platforms: Mac

MCompressor provides refined compression with volume maximization. It features an adjustable compression shape, giving you the power to set custom smoothing and create dynamic sound effects, and a range of up-sampling options for a crystal clear sound. Get MCompressor and take it for a test...


Platforms: Windows

MCompressor provides standard compression with volume maximization and has adjustable compression shape, which gives you power to set custom smoothing or even interesting sound effects. Standard and custom compression shape - using user shapes you can easily create various dynamic effects such as...


Platforms: Windows

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

em_ghmm : Expectation-Maximization algorithm for a HMM with Multivariate Gaussian measurement Usage ------- [logl , PI , A , M , S] = em_ghmm(Z , PI0 , A0 , M0 , S0 , [options]); Inputs ------- Z Measurements (m x K x n1 x ... x nl) PI0 Initial probabilities (d x 1) : Pr(x_1 = i) , i=1,...,d. PI0...


Platforms: Matlab

em_uvp : Expectation-Maximization algorithm for a Univariate Poisson Mixture [logl , R , P] = em_upm(Z , R0 , P0 , [nbite]); Inputs ------- Z Discrete measurements (1 x K x [n1] x ... x [nl]) R0 Initial Poisson Rate. R0 can be (1 x 1 x d x [v1] x ... x [vr]) P0 Initial mixture probablities (1 x 1...


Platforms: Matlab

This program detects a target image in a given image according to maximization of Cross Correlation.Sample Run:>> target This program detects a target in an image Entering the image for MATLAB... Save the image or its copy in MATLAB working Directory Enter the name of the image file...


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

Classical optimal hedge ratio concentrates on risk reduction and neglects strategic value maximization. In this study, the authors use stochastic-optimization theories to formulate an optimal, short-term hedging scheme to mitigate risks while maximizing portfolio value. Stochastic spot and...


Platforms: Matlab

The codes provided can be used to show that the Kalman Smoother Expectation Maximization (KSEM) methodology can be used successfully to estimate the parameter of the Schwartz-Smith model. We develop several novel adjustments to incorporate the model framework.The advantage of using this method...


Platforms: Matlab

Suppose you have a random process x(t), that is generated from time indexed densities N(m1(t),sigma1(t)) with probability alpha, and from density N(m2(t),sigma2(t)) with probability 1-alpha.The process x(t) is directly unobservable but can be observed through y(t)=f(x(t))+noiseGiven only the data...


Platforms: Matlab

Rigid body 2-D image co-registration (translation and rotation) is performed using maximization of mutual information.Function is implemented in c-code and compiled using the Matlab compiler to minimize computation time. Current compilation will only run on a 32-Bit windows machine running 2007b....


Platforms: Matlab

When using MATLAB on windows platforms one could write MEX files to access the WIN32 API functions. However such a tutorial is difficult to find.I decided to post an example with a commented C-MEX file that will demonstrate how to accurately find the windows handle of a MATLAB figure window and...


Platforms: Matlab

WebCam Looker is a complete software solution with motion detector for home surveillance, for marking and publishing of images to the web, or recording into archive for later review. On motion detected the program can write video, upload images to ftp, send by e-mail, play sound, etc. You do...


Platforms: Windows

Actual Transparent Window serves the purpose of facilitating work with several windows at a time. It lets you forget about window minimization and maximization routine by enabling the transparency feature applicable to any single window. It gives you means for efficient workspace usage along with...


Platforms: Windows

The SMLogger suite contains the five components for logging of errors/exceptions, tracing of messages, events etc 1. TSMExceptionLog: drop this component and you'll receive the useful processing of errors and exceptions for your application in one place. Your user can automatically send to...


Platforms: Windows