Comparison of Particle Swarm Algorithm and Ant Colony Algorithm in the Optimization of Uniform Quantizer

In this paper, we focuse on the study of parameter optimization problem of the uniform scalar dead zone quantizer (USDZQ).We used particle swarm optimization (PSO) algorithm and ant colony optimization (ACO) algorithm for the optimization. We used the two kinds of optimization algorithm for ECG signal coding test.Those ECG signals were from the MIT-BIH arrhythmia database. At the end of this paper, the results of compression are compared.