Variance

>> Y = cummean(X,DIM);if X is MxN, Y is also MxN. To illustrate the functionality, lets assume X is a 1xN vector. Then, Y is a 1xN vector where the n-th entry in Y is given by mean(X(1:n)). So, Y(end) = mean(X), and Y(1) = X(1). cumvar works in the same way, and this can be done on an arbitrary...

LLR_DEMOD LLR Demodulator H = LLR_DEMOD_MEX(CONSTELLATION, MAPPING, METHOD) constructs a LLR demodulator object H for a given constellation, mapping and noise variance. The vectors CONSTELLATION and MAPPING are usually generated by using MATLAB Modem Modulation Modem. and contain the complex or...

The correlation function calculated from one realization of an ensemble is inherently flawed since the expectation operation does not come into play. Hence it is important to have an idea of the variance in the correlation function.


Platforms: Matlab

Suppose that you have a signal Y (Y can be a time series, a parametric surface or a volumetric data series) corrupted by a Gaussian noise with unknown variance. It is often of interest to know more about this variance. EVAR(Y) thus returns an estimated variance of the additive noise.EVAR provides...


Platforms: Matlab

pystats is a comprehensive Python module implementing algorithms for statistics and information theory, including probability distributions, descriptive statistics, analysis of variance, regression, and inference.


Platforms: Windows, Mac, Linux

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

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

Current direct sequence code division multiple access (DS-CDMA) system suffer from Multiple access interference (MAI) and Inter symbol interference (ISI) due to the frequency selective channel. This interference can be avoided by use of Adaptive Beamforming. There are two different minimum...


Platforms: Matlab

[cg, psg] = crandn(rgau,m)Generate correlated Gaussian sequences by Fourier synthesis.Input parameters:rgau = correlation function - length n/2m = number of realisationsOutput:cg = m x n matrix containing m sequences of n correlated variates from a zero mean, unit variance normal distributionpsg...


Platforms: Matlab

Some curve fitting or smoothing tools can benefit from knowledge of the noise variance to expect on your data. Kalman filters use this information, also some spline fitting tools. So I wrote a function to extract the noise variance from a signal vector. It also works on any specified dimension of...


Platforms: Matlab

This zip file contains the Presentation (PDF) and M-files that were demonstrated in the MathWorks Webinar: Using Genetic Algorithms in Financial Applications delivered on Dec 11 2007.The purpose of the webinar was to highlight how Genetic Algorithms may be used to supplement portfolio...


Platforms: Matlab

This set of files show some of the principles of Monte Carlo simulations, applied in the financial industry. this is the content of the web seminar called "Simulations de Monte Carlo en MATLAB".The slides are in French and a copy in English is also availableYou will find here :* how to code your...


Platforms: Matlab

function [optN, C, N] = sshist(x,N) [optN, C, N] = sshist(x,N) Function `sshist' returns the optimal number of bins in a histogram used for density estimation. Optimization principle is to minimize expected L2 loss function between the histogram and an unknown underlying density function. An...


Platforms: Matlab

Demo graphical user interface that finds an unconstrained mean-variance efficient frontier given asset price data. This data can come from Yahoo finance, where you can find the optimial portfolio for any set of assets you choose, or from a supplied Microsoft Access database.


Platforms: Matlab

Statistics fundamentals of the Correspondence Analysis (CA) is presented in the CORRAN and MCORRAN1 m-files you can find in this FEX author''s page. CA can be extended to more than two categorical variables, called Multiple Correspondence Analysis (MCA). CA and MCA are graphical techniques for...


Platforms: Matlab

fitChiSquare is a generalized chi-square fitting routine for any model function when data measurement errors are known; it returns the model parameters and their uncertainties at the delta chi-square = 1 boundary (68% confidence interval). It also returns the chi-square and degrees of freedom...


Platforms: Matlab

Neural Network Based Control System Design Toolkit Version 2The NNCTRL toolkit is a set of tools for design and simulation of control systems based on neural networks. The following designs are available:o Direct inverse controlo Internal model controlo Control by feedback linearizationo Optimal...


Platforms: Matlab

this function calculates the price of Call option based on the GARCH option pricing formula of Heston and Nandi(2000). The input to the function are: current price of the underlying asset, strike price, unconditional variance of the underlying asset, time to maturity in days, and daily risk free...


Platforms: Matlab

Matlab Toolbox for Submodular Function Optimization (v 2.0)By Andreas Krause (krausea@gmail.com).Slides, videos and detailed references available at http://www.submodularity.orgTested in MATLAB 7.0.1 (R14), 7.2.0 (R2006a), 7.4.0 (R2007a, MAC), 7.9.0 (MAC)This toolbox provides functions for...


Platforms: Matlab

Value-at-Risk calculation for portfolio stocks using variance-covariance, historical and MonteCarlo methods. Portfolio can be larger as you want including either the risk factor (stock index, currency, etc.)


Platforms: Matlab