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This function calculates the probability under the normal distribution curve, plots the graph and the area calculated.

Normaldistribution

calculating the area under a normal distribution curve
from -ve infinity upto point x.

Input:
x : point on the normal distribution curve
mean : mean of the normal distribution curve
sigma : standard deviation of the normal distribution curve
...



Sigma Grid is a Ajax-enabled JavaScript grid control that provides professional solution for representing and editing tabular data on the web.
Pure javascript codes, Seamless Integration with any server side solution, such as j2ee, .net,...



This widget uses php-gd to generate a Sigma BC906 bike computer to show your bike statistics. The statistics can be entered by using the dashboard.

Installation :

Extract the zip archive in your WordPress plugins folder...



Written in pure javascript, Sigma Grid is an Ajax data grid for displaying and inline editing data in a scrollable and sortable table.
IE 6.0+ \ FireFox 2.0+ \ Safari 3.0+ \ Opera9.0+ supported.
Pure javascript codes, Seamless...



An Advanced Simple Configuration Delta-Sigma Modulation Three-Phase Inverter Implementing Space Voltage Vector Approach.

To miniaturize and enhance the performance of a variety type of switching mode inverters and converters,...



Within a sigma range separable filters with integer parameters are sought. The filters have a sum which is an integer power of 2 in order to divide the filter result by shifting the bits.



This file explains how to run the demo shown in the July 2005 MATLAB Digest Article "Improving an Engine Cooling Fan Using Design for Six Sigma Techniques." You will need MATALAB, Statistics Toolbox, Curve Fitting Toolbox, and...



function y = laprnd(m, n, mu, sigma)
%LAPRND generate i.i.d. laplacian random number drawn from laplacian distribution
% with mean mu and standard deviation sigma.
% mu : mean
% sigma : standard deviation
% [m, n] : the...



Using the Cholesky decomposition, it generates n iterations of multivariate Gaussian random variables for a given mean vector (mu) and variance-covariance matrix (sigma).

mvgrnd(mu,sigma,n)



Program FFTSIGMA plots Fourier series representations with sigma approximation. The figures show effects of
the number of series terms and use of Lanczos sigma factors
to smooth Gibbs oscillations. The Fourier series of a periodic...



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



Matlab codes are provided for min-max optimization for loop-filter design in delta-sigma modulators.
The MATLAB codes are based on our recent paper:
M. Nagahara and Y. Yamamoto,
Frequency-Domain Min-Max Optimization of Noise-Shaping...



Written in pure javascript, Sigma Grid is an Ajax data grid for displaying and inline editing data in a scrollable and sortable table. Seamless Integration with any server side solution, such as j2ee, .net, PHP, perl . Inline editing, keyboard...



SIGMA (SImple Game MAchine) Framework - scalable platform for multimedia applications development.



A free software tool to help manage your six sigma implementation. Manage project problem details, milestones, isssues, and action items with an effective online tool.



This toolbox includes a complete set of blocks implemented in the Simulink environment, which allows designers to perform time-domain behavioral simulations of switched-capacitor sigma-delta modulators.

The proposed set of blocks takes...



[MU, SIGMA, D] = TRUNCLOGNORMEST(DATA) returns the estimated parameters of the lognormal distribution, with unknown left truncation, using the sample data of percent of observations greater than observed quantities.

DATA is assumed to...



With this function, you can get the value of L (wavelength), k (wave number), sigma(angular frequency), using different solutions of the dispersion relationship.
Inputs:
h = deep water (m)
T = wave period (s)
Outputs:
...



[G GWINLEN] = genGaborKernelF( MU,NU,sigma,scaleXY,imgSz )
GIMG = GABORCONV(IMG,G,GWINLEN)
Extract the texture feature using Gabor filter/wavelet. You should first generate cell array G, which is a set of kernels in freq domain, then...



This toolbox allow the simulation of sigma-delta modulators. considering the most important building block non-idealities. Moreover, it provides functions for evaluating the sigma-delta modulator performance.