Optimizing Polynomial Window Functions by Enhanced Differential Evolution

نویسندگان

  • Dongli Jia
  • Guoxin Zheng
  • Yazhou Zhu
  • Li Zhang
چکیده

This paper proposed a class of polynomial window functions whose coefficients are optimized with the Enhanced Differential Evolution (EDE). Through optimization, the proposed window not only has an optimal solution, but can support different kinds of prescribed applications. The comparisons and analysis also show that the proposed method has a better performance than the traditional ones such as Hamming window, Hanning window, and the Blackman window.

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تاریخ انتشار 2009