A New Algorithm (Esa-De) For Designing Fir Digital Filters

This paper proposes a new algorithm called (ESA-DE) for software-designed realization of finite impulse response (FIR) filters. The determination of the optimal order of the filter is always a confusing problem. In this paper, we will confirm the optimal order of the filter. Differential evolution has obtained widely concern as one of the most promising intelligent optimization algorithms in the field of artificial intelligence. The new algorithm (ESA-DE) uses a new mechanism called elite guide with weight and two new self-adaptive parameter distribution techniques to enhance algorithm's diversity and convergence. Experiments prove that the new algorithm is at least superior to the basic DE and its variants JDE and ODE. The proposed algorithm is applied to solve practical problem that it is to design FIR digital filters, which overcomes the shortcomings of the traditional designing method. In addition, the practical problem about design for digital filter demonstrates that the ESA-DE has a better performance compared with the other three algorithms.