![]() ![]() SciPy for signal processing function, etc. This shouldīe considered a catch-all for various Python packages that aren’t necessarily part of NumPy: matplotlib for plots, I’ll almost always write ‘NumPy’ when discussing Python scripts related to this filter series. In this blog post, I will discuss the tools that I’ve been using to evaluate and design filters: ![]() There are many resources on the web that discuss the theoretical aspects about this or thatįilter, but fully worked out examples with full code are harder to find. They are much easier to understand, and generally behave better, but they also requireĪ lot more calculation power to obtain similar ripple and attenuation results than IIR filters. SinceĪ bit too complicated still, and sometimes not suitable for audio processing due to non-linear phase That it was about time to start designing some real filters. Designing Filters with NumPy’s Remez Function.
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