Greater

This is useful if you have a content type that you want to allow some classes of users greater use of- for example, a CCK node may have a field for a link to an external website. Using this module you can allow only registered users to have access to that field to create, update, and now... Platforms: Windows, Mac, *nix, PHP, BSD Solaris

The site uses the simple tempate system from another contribution ( great contribution which I suggest everyone should use ! )Firstly, the site features JS Drop menus, ( Fireworks Type ) which are dynamically generated by the categories in the system.The second feature this package has is stock... Platforms: Windows, *nix, PHP, BSD

This script allows you to take k random samples (with replacement) from a population, where k may be greater than len(population). Platforms: Windows, Mac, *nix, Python, BSD Solaris

The main advantage of using Simple PHP Blog is that it only requires PHP 5 (or greater) and write permission on the server. Unlike other blog software, there is almost no setup - just unzip and copy.This blog uses flat text files. It does not require a database.The main functionality of the blog... Platforms: Windows, Mac, *nix, PHP, BSD Solaris

Let us assume the following MIMO model:Y(k)=HX(k)+Y(k)This file can detect the number of sources, i.e the size of the vector X(k) from the received signal Y(k). The noise is assumed spatially white and the number of receivers must be strictly greater than the number of sources. For algorithm... Platforms: Matlab

EDFT (Extended Discrete Fourier Transform) algorithm produces N-point DFT of sequence X where N is greater than the length of input data. Unlike the Fast Fourier Transform (FFT), where unknown readings outside of X are zero-padded, the EDFT algorithm for calculation of the DFT using only... Platforms: Matlab

Let us assume the signal model:Y(k)=HX(k)+B(k)This script provides a method for the blind recognition of the number of sources (the size of X(k)). The noise must be spatially white and the number of receivers is assumed to be stricly greater than the number of sources. See reference [CHE91] Chen.... Platforms: Matlab

Let us assume the following MIMO model:Y(k)=HX(k)+Y(k)This file can detect the number of sources, i.e the size of the vector X(k) from the received signal Y(k). The noise is assumed spatially white and the number of receivers must be strictly greater than the number of sources. See Reference... Platforms: Matlab

This model uses the NLMS adaptive filtering algorithm to suppress additive noise. It does not require a reference noise signal. However, the noise should be such that the auto-correlation of the noise be close to zero for some lag greater than a certain number. This model implements the NLMS... Platforms: Matlab

Five methods for converting a signal to a binary representation. Methods outlined in Arthur Petrosian, "Kolmogorov Complexity of finite sequences and recognition of different preictal eeg patterns".Methods are:1. average method: sample assigned 1 if above the signal average2. modified zone... Platforms: Matlab

This project allows you to learn communication systems in greater depth. It contains the Simulink files (*.mdl) which are block design files of various communication systems such as AM, DSB-SC, FM, PLL, Data Acquisition, Digital Data Transmission, PCM and Delta Modulation.The idea here is to... Platforms: Matlab

% also incorrectly known as Shannon-Weaver,is one of% several diversity indices used to measure versity% in categorical data. It is simply the Information% entropy of the distribution, treating species as% symbols and their relative population sizes as the% probability.% The advantage of this... Platforms: Matlab

Clipping is the main program. There are three inputs: y is the time record, threshhold_value is the clipping threshhold, and threshhold_samples is the number of consecutive data points exceeding the threshhold_value to indicate that the data is clipped.The program returns two cells arrays... Platforms: Matlab

Matlab's image processing toolkit provides functions for reading and writing DICOM medical image files, but it does not provide a full DICOM toolkit for networking, structured reports, etc. This example shows how to call the robust and open-source dcm4che toolkit (www.dcm4che.org) to access... Platforms: Matlab

GRANGER_CAUSE is a Granger Causality Test. The null hypothesis is that the y does not Granger Cause x. A user specifies the two series, x and y, along with the significance level and the maximum number of lags to be considered. The function chooses the optimal lag length for x and y based on the... Platforms: Matlab

[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 be nx2 where the first column is a set of known values, and the... Platforms: Matlab

The program computes the residue curve map for the ternary mixture benzene-toluene-p-xylene. When you change the mouse's position, a new residue curve is computed and displayed. Residue curve maps play an important role in the conceptual design of distillation columns. The pointer's position... Platforms: Matlab

SolverNxN is designed to solve many small linear system in a vectorized way in order to improve time perfomaces. It is in practice a faster alternative to the matlab commands: for k = 1:number_of_systemsx=Ab;end The Matlab looping speed can visibly slow down this process so most of the time is... Platforms: Matlab

This program presents the solution to an ode model of the circadian clock, published by Locke et al (2005) 'http://www.nature.com/msb/journal/v1/n1/full/msb4100018.html', in two different ways.A moving plot can show either time series or a limit cycle in 2D or 3D mode, with the user able to... Platforms: Matlab

S = ARABIC2ROMAN( N ) produces the Roman numeral, S, for a given Arabic numeral, N. N is a scalar number. S returns a string.Limitation: Does not handle Arabic values greater than 3999 Platforms: Matlab