Information theory

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.

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.

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.

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.

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

Huffman Coding Matlab Code

Huffman code is an optimal prefix code found using the algorithm developed by David A. Huffman while he was a Ph.D. student at MIT, and published in the 1952 paper "A Method for the Construction of Minimum-Redundancy Codes". The process of finding and/or using such a code is called Huffman coding and is a common technique in entropy encoding, including in lossless data compression. The algorithm's output can be viewed as a variable-length code table for encoding a source symbol (such as a character in a file).

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.

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.

Pages

Subscribe to RSS - Information theory