First of all, I'm not a signal processing expert. Actually, I'm trying to benefit from some concepts of signal processing theory in my computer science research.

My problem is that, I have to find out the frequencies of a binary signal in run-time/real-time. I was thinking about an adaptive approach to compute DFT. but I'm not sure if this may give me the expected outcome.

What I'm doing is:

  1. Recording the zero-one series in a buffer represents a time window (T).
  2. Analyse the recorded buffer to find out the frequencies (Fs).
  3. Feed Fs from step 2 to decision making algorithm.
  4. Repeat (1&2) to adapt decision of step 3.

Where should I start? and what topics I have to read before go farther?

  • $\begingroup$ The FFT algorithm is an adaptive approach to computing the DFT. It determines the frequency bin in log2(N) iterations, where N is the length of the sequence. $\endgroup$ – Dan Boschen Dec 30 '18 at 11:27

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