Entropy

for entropyH = entropy(S)this command will evaluate the entropy of S, S should be row matrixH = entropy([X;Y;Z])this command will find the joint entropy for the 3 variablesH = entropy([X,Y],[Z,W])this will find H(X,Y/Z,W).. you can use it for any combination of joint entropiesPlease validate this...

Nowadays there are heaps of articles on the theory of fuzzy entropy and fuzzy mutual information. However, there is a clear significant lack for a Matlab implementation of these concepts. Based on numerous requests from students and researchers, I have prepared this code to simplify such concepts...

to compute the entropy of an imagethe entropy of an image shows its the quality objectively.


Platforms: Matlab

The STP Entropy Einstein Solid program calculates the entropy of two Einstein solids that can exchange energy. The purpose of this calculation is to illustrate that the entropy is a maximum at thermal equilibrium. The default system is two Einstein solids with 50 particles each and total energy E...


Platforms: Mac

Freenet, Entropy, and Samizdat Controller is a small application which allows you to control Freenet, Entropy, and Samizdat. This project is looking for a new maintainer.


Platforms: Mac, BSD, Linux

NSB entropy and mutual information estimator; applications to the analysis of neural code.


Platforms: Mac, BSD, Linux

Normalized mutual entropy provides a measure of the diversity of a two dimensional matrix. It takes mutual entropy and normalizes for the marginal entropy of the variable of interest (column variable in the code). See screen shot or embedded references for formula.This code is used for the...


Platforms: Matlab

This is the iterative 2D Minimum Entropy Deconvolution implemented according to an iterative method in the original paper:R.A. Wiggins, Minimum Entropy Deconvolution, Geoexploration, vol. 16, Elsevier Scientific Publishing, Amsterdam, 1978. pp. 21d-deOCt35.This also works applying the 1D MED when...


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

Approximate Entropy (ApEn) is a popular tool in analysing the complexity of time series data especially in clinical research.This function is a very simple and efficient implementation of ApEn, based on vectorization concept that improves speed tremendously over for-loop implementation.It also...


Platforms: Matlab

This code removes a feature from data file which it considers bearing least amount of relevant information.It's usage intended to classification problems. It is based on fuzzy measures and similarity. Much wider description, explanation and some results can be found in article:P. Luukka, (2011)...


Platforms: Matlab

Entropy_triangle is a function that implements two tools to analyze the behavior of multiple-class, or multi-class, classifiers by means of entropic measures on their confusion matrix or contingency table. First we obtain a balance equation on the entropies that captures interesting properties of...


Platforms: Matlab

This short code calculates the sample entropy (SampEn) of a given time series data. SampEn is a measure of complexity that can be easily applied to any type of time series data, including physiological data such as heart rate variability and EEG data.SampEn is conceptually similar to approximate...


Platforms: Matlab

Calculates entropy for data (probability of events) in an array. In information theory, entropy is a measure of the uncertainty associatedwith a random variable. In this context, the term usually refers to theShannon entropy, which quantifies the expected value of the information% contained in a...


Platforms: Matlab

Entropy Broker is an infrastructure for distributing cryptographically secure random numbers (entropy data) from one or more servers to one or more clients. Entropy Broker allows you to distribute entropy data (random values) to /dev/random devices from other systems (real servers or virtualised...


Platforms: *nix

Steam properties calculator Excel add-in based on IAPWS-97 standard which calculates 23 different properties such as: Temperature, Pressure, Enthalpy, Entropy, Quality, Density, Internal Energy, Isobaric Heat Capacity, Isochoric Heat Capacity, Specific volume, Speed of Sound, Thermal...


Platforms: Windows

video-entropyd is a program to add entropy data from video4linux devices to the kernel random driver. For security reasons (when doing network traffic or generating secure keys for example) one wants as much entropy-data in the kernel random-driver as possible. The random-driver takes partially...


Platforms: *nix

MaxEntropy is a Perl5 module for Maximum Entropy Modeling and Feature Induction. SYNOPSIS use Statistics::MaxEntropy; # debugging messages; default 0 $Statistics::MaxEntropy::debug = 0; # maximum number of iterations for IIS; default 100 $Statistics::MaxEntropy::NEWTON_max_it = 100; #...


Platforms: *nix

Easily create, open and preview popular archive files like ZIP, RAR, 7z, TGZ and more ( 30+ formats supported ). An unparalleled feature set makes Entropy the ultimate archiving app: • EXTRACT all major archive formats • C


Platforms: Mac

This program calculates enthalpy and entropy of water for given values of Pressure (in kPa) and Temperature (in degrees Celsius). It also determines whether the state is saturated, compressed liquid or superheated water.


Platforms: Matlab