The following Matlab project contains the source code and Matlab examples used for linear bbock code encoder and decoder. . The encoder function displays the linear block code matrix along with the minimum Hamming distance, minimum error detection and correction capability and Hamming weights and Hamming distances The input n and k are the dimensions of the block code eg (7,4) linear block code and pm is the parity sub matrix.

The following Matlab project contains the source code and Matlab examples used for random number generator for linear distribution. Return random variable(s) with linear distribution within [0,1] and 0 outside; m specifies the slope In other word P(x)= mx+b if 0<=x<=1 P(x)= 0 otherwise where b=1-m/2 as int P(x) should be 1 Usage: ran=randl(m,SIZE) E.

The following Matlab project contains the source code and Matlab examples used for shannon and non extensive entropy. The functions include extensive Shannon and nonextensive Tsallis,escort Tsallis,and renyi entropy.

The following Matlab project contains the source code and Matlab examples used for spatial channel model for mimo simulations. a ray based simulator based on 3gpp tr 25.996 v.6.1.0. The MIMO spatial channel model simulates a wireless propagation channel in various cases and applies the concept of diversity (spatial and polarization) assuming multiple antennas at both the transmitter and receiver, thus forming a Multiple Input Multiple Output antenna system.

The following Matlab project contains the source code and Matlab examples used for entropy, joint entropy and conditional entropy function for n variables. for entropy H = entropy(S) this command will evaluate the entropy of S, S should be row matrix H = entropy([X;Y;Z]) this command will find the joint entropy for the 3 variables H = entropy([X,Y],[Z,W]) this will find H(X,Y/Z,W).

The following Matlab project contains the source code and Matlab examples used for ber of bpsk ds ss system. This m-file finds the bit error rate performance of BPSK DS-SS system over (i) AWGN channel and (ii) Slow Rayleigh fading channel corrupted by AWGN.

The following Matlab project contains the source code and Matlab examples used for additive noise channel. Additive Noise Channel / Additive Guassian Noise Channel is the simplest of all channels.

The following Matlab project contains the source code and Matlab examples used for two qubit quntum computer. In this program, we examine the entropy of two qubit system, which has the phonon entropy. the decohence rate and entropy has been examined.

The following Matlab project contains the source code and Matlab examples used for normalized mutual entropy. Normalized mutual entropy provides a measure of the diversity of a two dimensional matrix.

The following Matlab project contains the source code and Matlab examples used for mutual information in probability theory and information theory. The definition of mutual information could resort to wiki: http://en.

The following Matlab project contains the source code and Matlab examples used for approximate entropy. Approximate Entropy is a measure of complexity.

The following Matlab project contains the source code and Matlab examples used for calculates the sample entropy, in bits, of discrete variables. . Entropy: Returns entropy (in bits) of each column of 'X'   by Will Dwinnell     H = Entropy(X)     H = row vector of calculated entropies (in bits)   X = data to be analyzed     Note 1: Each distinct value in X is considered a unique value.

The following Matlab project contains the source code and Matlab examples used for conditional entropy. ConditionalEntropy: Calculates conditional entropy (in bits) of Y, given X   H = ConditionalEntropy(Y,X)     H = calculated entropy of Y, given X (in bits)   Y = dependent variable (column vector)   X = independent variable(s)      Note 1: Each distinct value is considered a unique symbol.

The following Matlab project contains the source code and Matlab examples used for joint entropy.   JointEntropy: Returns joint entropy (in bits) of each column of 'X'   Note: Each distinct value is considered a unique symbol.     H = JointEntropy(X)     H = calculated joint entropy (in bits)   X = data to be analyzed

The following Matlab project contains the source code and Matlab examples used for rayleigh fading simulator. The Jakes’ method invoke the central limit theorem to show that the base-band signal received from a multipath fading channel is approximately a complex Gaussian process when the number of paths, L is large.

The following Matlab project contains the source code and Matlab examples used for probability of error for sequence in awgn and awgn+rayleigh channel, confrontation. Probability of error for sequence in AWGN and AWGN+Rayleigh channel, confrontation between the two probability. Rayleigh channel is considered as slow fading

The following Matlab project contains the source code and Matlab examples used for the adjusted mutual information. This program calculates the adjusted mutual information for comparing clusterings.

The following Matlab project contains the source code and Matlab examples used for lte downlink physical channel processing. Models the downlink physical channel processing in the FDD mode for a multi-antenna system configuration based on the 3GPP TS 36.

The following Matlab project contains the source code and Matlab examples used for mutual information. MutualInformation: returns mutual information (in bits) of discrete variables 'X' and 'Y'   I = MutualInformation(X,Y);     I = calculated mutual information (in bits)   X = variable(s) to be analyzed (column vector)   Y = variable to be analyzed (column vector)     Note 1: Multiple variables may be handled jointly as columns in     matrix 'X'.

The following Matlab project contains the source code and Matlab examples used for thresholding the minimum cross entropy. The method of minimum cross entropy chooses "the best threshold" which loses less information during the thresholding. The principle is to calculate the disance D between two distributions P and Q. D(P,Q)=sum pi log(pi/qi)

The following Matlab project contains the source code and Matlab examples used for total kullback leibler (tkl) divergence between multivariate normal probability density functions. . This program implements the tKL between two multivariate normal probability density functions following the references:     Baba C.

The following Matlab project contains the source code and Matlab examples used for information theory toolbox. This toolbox contains functions for discrete random variables to compute following quantities: 1)Entropy 2)Joint entropy 3)Conditional entropy 4)Relative entropy (KL divergence) 5)Mutual information 6)Normalized mutual information 7)Normalized variation information This toolbox is a tweaked and bundled version of my previous submissions.

The following Matlab project contains the source code and Matlab examples used for image entropy. the entropy of an image shows its the quality objectively.

The following Matlab project contains the source code and Matlab examples used for entropy calculator. In information theory, entropy is a measure of the uncertainty associated with a random variable.