Novel Optimum Identification for Analog Design-for-Testability ( DfT) Comes from Fast Convergence Identification As RBF is publicly recognized as having good astringency, fast convergence speed and stability of computation, the author attempted to develop an RBF-based optimization algorithm for designing the FIR digital filters.

  • 由于公认为径向基函数网络具有好的收敛性与收敛速度,并且在计算稳定性方面也具有相当好的性能,作者将径向基函数网络的优化算法应用于FIR数字滤波器的设计中。

  • 互联网摘选 2025-01-20 13:31:58

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