The Goertzel algorithm is a technique in digital signal processing (DSP) for efficient evaluation of the individual terms of the discrete Fourier transform (DFT).
In short, it measure the power of a specific frequency like one bin of a DFT, over a rolling window (N) of samples.
Here you see an input signal that changes frequency and amplitude (from 7 bars to 17). I am running the indicator 3 times to show it measuring both frequencies and one in between (13). You can see it very accurately measures the signals present and their power, but is noisy in the transition. Changing the block len will cause it to be more responsive but noisier.
Here is a picture of the same signal, but with white noise added.
If you have a cycle you think is present you could use this to test it, but the function is designed for integration in to more complicated scripts. I think power is best interrupted on a log scale.
Given a period (in bars or samples) and a block_len (N in Goertzel terminology) the function returns the Real (InPhase) and Quadrature (Imaginary) components of your signal as well as calculating the power and the instantaneous angle (in radians).
I hope this proves useful to the DSP folks here.
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To answer the question in your function, yes, the loop should be from 0 to N-1 if you want the calculation to factor in the current bar. Otherwise, you're looking at the transform from the last bar.
I think it would be dope to make a spectral heatmap using this algorithm. I might play around with it in my spare time.
P.S. What's with the unused window function? lol
@DonovanWall, give me a few days, I am almost done with one.
>the loop should be from 0 to N-1 if you want the calculation to factor in the current bar.
Hmm, I'll double check this. Thanks.
And here's some pseudocode from wiki:
Notice they use 0 to N - 1.