Multi-Objective Optimization on Multistage Half-Band FIR Filter Design Using Simulated Annealing Algorithm

@article{Zhang2019MultiObjectiveOO,
  title={Multi-Objective Optimization on Multistage Half-Band FIR Filter Design Using Simulated Annealing Algorithm},
  author={Jin Zhang and W. H. Hu and Yonghao Wang and Xiangyu Zhu},
  journal={2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)},
  year={2019},
  pages={1101-1106}
}
  • Jin Zhang, W. H. Hu, +1 author Xiangyu Zhu
  • Published in
    IEEE 21st International…
    2019
  • Computer Science
  • The design of a finite impulse response (FIR) digital filter is essentially a multi-parameter and multi-objective optimization problem, different optimization techniques can be utilized to minimize the latency in the live audio processing chain by minimization or maximization of the objective function. Using cascaded FIR filters as anti-aliasing and anti-image filters for high-resolution audio conversion are common. We can optimize the parameters of each stage to achieve the overall performance… CONTINUE READING

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