如何在Python中应用短FIR低通滤波器

Question

我正在尝试实现与此注释（https://github.com/scipy/scipy/issues/4940#issuecomment-109952602）中详述的内容类似的内容（重新发布在此处）：

Anyway, a spike-train coded as a sum of delta functions is an analog signal. So when you bin the signal into rate or count histograms you will introduce aliasing, and your binning noise is the aliasing. The theory is explained in the classical French and Holden (1971) paper, though it is uncommon to use their "exact" anti-alias filter for reasons of efficiency. The easiest solution is to convolve each delta-function spike with a short FIR low-pass filter before you sample the spike train. http://link.springer.com/article/10.1007/BF00291117

我还没想好怎么做。我研究了各种NumPy和SciPy函数，但它们都假设您知道自己在做什么：）