simulation

Wcnc2013 matlab

The following Matlab project contains the source code and Matlab examples used for wcnc2013 matlab. simulation of : M. R. Avendi and Ha H. Nguyen, "Differential Amplify-and-Forward relaying in time-varying Rayleigh fading channels," IEEE Wireless Communications and Networking Conference (WCNC), Shanghai, China, 2013,

Tvt2013 matlab

The following Matlab project contains the source code and Matlab examples used for tvt2013 matlab. simulation of: "Performance of Differential Amplify-and-ForwardRelaying in Multi-Node Wireless Communications," IEEE Tran. Vehic. Tech., 2013

Particle Swarm Optimization Matlab Code

Particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle's position and velocity.

Neural Network Matlab Code

Artificial neural networks (ANNs) are computational models inspired by an animal's central nervous systems (in particular the brain) which is capable of machine learning as well as pattern recognition. Artificial neural networks are generally presented as systems of interconnected "neurons" which can compute values from inputs.

Genetic Algorithm Matlab Code

Genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.

genetic algorithm

Mixed design anova in matlab

The following Matlab project contains the source code and Matlab examples used for mixed design anova. The script includes (1) a data set simulation and (2) mixed-design analysis using ANOVAN    In a mixed-design ANOVA model: one factor (a fixed effects factor) is a between-subjects variable and the other (a random effects factor) is a within-subjects variable)    (http://en.wikipedia.org/wiki/Mixed-design_analysis_of_variance)

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