# Fast approximate entropy in matlab

The following Matlab project contains the source code and Matlab examples used for fast approximate entropy. Approximate Entropy (ApEn) is a popular tool in analysing the complexity of time series data especially in clinical research.

# Entropy estimation from histogram in matlab

The following Matlab project contains the source code and Matlab examples used for entropy estimation from histogram. The script calculates the entropy point estimation from 1D histogram of data.

# Mutual information and joint entropy in matlab

The following Matlab project contains the source code and Matlab examples used for mutual information and joint entropy. Compute mutual information and joint entropy of two images. For implementing this function also download function joint_histogram.m in my File Exchange.

# Compute the entropy of an entered text string in matlab

The following Matlab project contains the source code and Matlab examples used for compute the entropy of an entered text string. To compute Entropy the frequency of occurrence of each character must be found out.

# Von mises image entropy in matlab

The following Matlab project contains the source code and Matlab examples used for von mises image entropy. The local Rényi entropy of a given image is calculated in four equally spaced orientations and used to determine the parameters of the von Mises distribution of the image entropy.

# Permutation entropy in matlab

The following Matlab project contains the source code and Matlab examples used for permutation entropy. % Calculate the permutation entropy % Input: y: time series; % m: order of permuation entropy % t: delay time of permuation entropy, % Output: % pe: permuation entropy % hist: the histogram for the order distribution %Ref: G Ouyang, J Li, X Liu, X Li, Dynamic Characteristics of Absence EEG Recordings with Multiscale Permutation % % Entropy Analysis, Epilepsy Research, doi: 10.

# Multiscale permutation entropy (mpe) in matlab

The following Matlab project contains the source code and Matlab examples used for multiscale permutation entropy (mpe). % Calculate the Multiscale Permutation Entropy (MPE) % Input: X: time series; % m: order of permuation entropy % t: delay time of permuation entropy, % Scale: the scale factor % Output: % MPE: multiscale permuation entropy

# Modified minimum cross entropy threshold selection in matlab

The following Matlab project contains the source code and Matlab examples used for modified minimum cross entropy threshold selection. % MinCEP is a function for thresholding using Minimum Cross Entropy % threshold selection of non-blank space of Image.

# Ecological information based approach in matlab

The following Matlab project contains the source code and Matlab examples used for ecological information based approach. This is a simple code for calculating the number of nodes, Total System Throughput (TST), Average Mutual Information (AMI), conditional entropy, effective connectivity, and effective number of roles of information flow based network represented in the form of a matrix.

# Fuzzy entropy and mutual information in matlab

The following Matlab project contains the source code and Matlab examples used for fuzzy entropy and mutual information. Nowadays there are heaps of articles on the theory of fuzzy entropy and fuzzy mutual information.

# Fast mutual information, joint entropy, and joint histogram calculation for n d images in matlab

The following Matlab project contains the source code and Matlab examples used for fast mutual information, joint entropy, and joint histogram calculation for n d images. This uses no for-loops - only index manipulation.

# Kl divergence between gaussian distributions in matlab

The following Matlab project contains the source code and Matlab examples used for kl divergence between gaussian distributions. Kullback-Leibler divergence between two Gaussian distributions

# Next entropy gaussgain in matlab

The following Matlab project contains the source code and Matlab examples used for next entropy gaussgain. For a one-dimensional probability vector p find the Non-Extensive entropy with Gaussian Information Gain proposed by Susan and Hanmandlu which is proved useful for identifying regular patterns and in its additive form suitable for detecting anomalies citation for this entropy: Seba Susan and Madasu Hanmandlu.

# Feature mutual information (fmi) image fusion metric in matlab

The following Matlab project contains the source code and Matlab examples used for feature mutual information (fmi) image fusion metric. FMI calculates the Feature Mutual Information (FMI), the non-reference performance metric for fusion algorithms, proposed in:     M.

# 1 d random number generation with any analytical expression probability density function in matlab

The following Matlab project contains the source code and Matlab examples used for 1 d random number generation with any analytical expression probability density function. Given an analytical expression for probability density distribution(PDF), one can use this code to generate a sample of 1-D random numbers.

# Non convex compressed sensing for non gaussian noise in matlab

The following Matlab project contains the source code and Matlab examples used for non convex compressed sensing for non gaussian noise. optimization of the form min ||x||_p subject to ||y-Ax||_q<e p should be between 0 and 1 to promote sparsity.

# Reed solomon errors and erasures decoder in matlab

The following Matlab project contains the source code and Matlab examples used for reed solomon errors and erasures decoder. Routines and functions used in encoding and decoding Reed-Solomon codes. Most importantly, an errors-and-erasures decoder based on the Massey-Berlekamp algorithm is included. For more information, see http://dept.ee.wits.ac.za/~versfeld/research_resources/index.html

# Bpsk probability of error in awgn in matlab

The following Matlab project contains the source code and Matlab examples used for bpsk probability of error in awgn. This funtion will compute the probability of error in Additive White Gaussian Channel (AWGN) using BPSK modulation.

# Bpsk modulation in awgn in matlab

The following Matlab project contains the source code and Matlab examples used for bpsk modulation in awgn. This program simulates the bit error rate (BER) performance of BPSK modulation in an Additive White Gaussian Noise (AWGN) channel.

# Qpsk over rayleigh fading channel in matlab

The following Matlab project contains the source code and Matlab examples used for qpsk over rayleigh fading channel. This program is a script file, which computes the bit error rate of QPSK scheme over Rayleigh fading channel and shows in comparison with its performance over AWGN channel.

# Qpsk in awgn and fading in matlab

The following Matlab project contains the source code and Matlab examples used for qpsk in awgn and fading. the qpsk is generated by separating even and odd parts and then multiplied by orthogonal carriers .then passed through Rayleigh flat fading channel as well as awgn.

# Qpsk modulation in awgn in matlab

The following Matlab project contains the source code and Matlab examples used for qpsk modulation in awgn. This program is used to calculate the Bit Error Rate (BER) of QPSK in an Additive White Gaussian Noise (AWGN) channel.

# Depth first spherical lattice space time decoder with boundary control in matlab

The following Matlab project contains the source code and Matlab examples used for depth first spherical lattice space time decoder with boundary control. A stack-based sequential depth-first decoder that returns Maximum-Likelihood solutions to spherical LAST coded MIMO system-type problems, i.

# Structured mimo h infinity design for a dual stage platform using hifoo and hinfstruct in matlab

The following Matlab project contains the source code and Matlab examples used for structured mimo h infinity design for a dual stage platform using hifoo and hinfstruct. This m-file first creates a linear state-space model of a real experimental motion control platform where two electrical motors are used to rotate a payload around a single (vertical) axis.

# Sm modelbasedv2 order3 channelestimation 3bits in matlab

The following Matlab project contains the source code and Matlab examples used for sm modelbasedv2 order3 channelestimation 3bits. using Model Based channel estimation in MIMO

# Automatically resize mimo blocks upon connection. in matlab

The following Matlab project contains the source code and Matlab examples used for automatically resize mimo blocks upon connection. . In Simulink, it is often the case where a user wants to connect multiple blocks to another block, particularly in case of mux, demux, and bus creator blocks.

# Mu-tools based multivariable system identification in matlab

The following Matlab project contains the source code and Matlab examples used for mu-tools based multivariable system identification . Mu-Tools based Multivariable System Identification The Musysid folder contains some useful tools for : - black box MIMO system identification - state space system fitting from a given frequency response - converting frequency response data between the MU-TOOLS Toolbox and the SYSTEM IDENTIFICATION Toolbox formats.

# Blind channel estimation for mimo systems using linear space time codes in matlab

The following Matlab project contains the source code and Matlab examples used for blind channel estimation for mimo systems using linear space time codes. The channel estimation algorithm is based on a subspace approach.

# Blind channel estimation for mimo systems using orthogonal space time codes in matlab

The following Matlab project contains the source code and Matlab examples used for blind channel estimation for mimo systems using orthogonal space time codes. The channel estimation algorithm is based on Second Order Statistics.