I am trying to write a code for a neural network to do the digital filtering on some signals. Is there any neural network model for digital filtering?

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    $\begingroup$ Hi and welcome. Maybe you can specify a bit more on what is the task? I know of NN which can deal with signal enhancement, beamforming, and other tasks. Each has a very different approach. Without more information, it will be hard to offer any suggentions. $\endgroup$
    – havakok
    Jan 26 '21 at 12:55
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    $\begingroup$ A simple 1D convolutive layer would do exactly that. On the other hand you might try to read up on sincnets or DDSP. $\endgroup$
    – jojek
    Jan 26 '21 at 12:58

Yes. The FIR filter model you're used to is a series of Neurons with weighted inputs, and a linear activation function.

In other words, a standard FIR filter is a neural network.

I mean, it's called "CNN". The C is exactly the operation a filter does.

  • $\begingroup$ I found solution but for the first iteration I need to determined Passband, Stopband and the number of taps. I have no idea that how can I calculate this three parameter!! $\endgroup$
    – sam
    Mar 2 '21 at 13:31
  • $\begingroup$ Hi Sam, that's classical filter design, there's really a wealth of information and tooling out there. Try PyFDA to design the coefficients of your filter. $\endgroup$ Jul 16 '21 at 9:57

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