How are FIR filters implemented?
An FIR filter can be easily implemented using just three digital hardware elements, a unit delay (a latch), a multiplier, and an adder. The unit delay simply updates its output once per sample period, using the value of the input as its new output value. In the convolution sum, .
How do you implement a FIR filter in Python?
Designing a lowpass FIR filter is very simple to do with SciPy, all you need to do is to define the window length, cut off frequency and the window. The next code chunk is executed in term mode, see the source document for syntax. Notice also that Pweave can now catch multiple figures/code chunk.