Abstract: The essence of finite impulse response (FIR) digital filter design is the problem of the parameter optimization. Namely the optimal parameters of FIR digital filter are the core of the design. In due to the traditional design method of FIR digital filter is not only accuracy not high but also sideband frequency is difficult to determine. Improve Weight Particle Swarm Optimization (IWPSO) to design FIR digital filter has less calculation and fast convergence speed. The simulation results also demonstrate that the IWPSO has better appro-ximation properties and band-pass characteristics. what’s more, the convergence of IWPSO algorithm made good results in filter design efficiency.

Xinnan Hu, Yujia Wang and Kun Su, “The Fir Digital Filter Design based on Iwpso” International Journal of Advanced Computer Science and Applications(IJACSA), 6(5), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060507

@article{Hu2015,
title = {The Fir Digital Filter Design based on Iwpso},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060507},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060507},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {5},
author = {Xinnan Hu and Yujia Wang and Kun Su}
}