Codebook design of vector quantization based on improved particle swarm optimization

Abstract

An improved particle swarm optimization scheme for codebook design is proposed in this paper. By sorting the training vector, we select the initial codebook to enhance the diversity of search, and add stagnant judging algebra to prevent the algorithm falling into a local optimum. The simulation results prove that the improved method is reasonable.