Design of two-dimensional recursive filters by using Quantum-behaved particle swarm optimization

A novel algorithm, named Quantum-behaved particle swarm optimization (QPSO) proposed by us previously is introduced in the design of two-dimensional (2-D) recursive digital filters. The design of the 2-D filters is reduced to a constrained minimization problem that is solved by QPSO, which is a global stochastic searching technique and be able to find out the global optima of the problem more efficiently than original particle swarm optimization (PSO). Experiment results show the superiority of the proposed method by comparing it with those of some previous designs.