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I try to make a third-octave spectrum from a time signal and I have some troubles with the algorithm. I'm not an expert in signal processing so I don't know what is wrong.

Here what my algorithm looks like :

Time signal -> Z transform of the signal -> First octave band filtering -> Quadratic sum of the result's values => First octave band value.
Under factor 2 sampling ->Z transform of the signal -> Second octave band filtering -> Quadratic sum of the result's values =>Second octave band.

Now I have this, I try to test it on Matlab with a time signal about 2 millions points.

I have this code to calculate all the octave's bands :

    fc = fMin*2.^((0:bmax)*bw);             %Center frequencies.
    fl = fc*2^(-bw/2);                      %Lower cutoffs.
    fu = fc*2^(+bw/2);                      %Upper cutoffs.

And this one to calculate the Z transform of the time signal :

    x = [1 2 3];
    syms z;
    d = z.^(-1*(0:numel(x)-1));
    zTransform = sum(x.*d)

My main problem is, I'm not completely sure that my algorithm is right and if it is, how can I filter the z transform equation that the code above gives me with each third-octave band filters?

Thanks in advance, it's been a while I'm on this problem.

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  • $\begingroup$ How is that different from the question you asked before? $\endgroup$ – jojek♦ Jun 1 '18 at 9:08
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maybe either the bandpass filters or the peaking EQ filters in the audio EQ cookbook can help. bandwidth is defined in octaves in that. the output, $y$, of each 1/3 octave BPF filter should be squared and low-pass filtered to get the mean square, $\overline{y^2}$. and then

$$dB = 10 \log_{10}\Big(\,\overline{y^2}\,\Big)$$

is applied to that to get dB.

are you planning on doing this to the whole audible spectrum? 31 bands?

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  • $\begingroup$ Yes, I would like to filter the signal from 10Hz to 10kHz (maybe 20kHz later). In fact, the z transform calcul gives me an equation in output. I don't know what can I do with it. Is there not a better way, have a table in output ? It will be easy after to filter this $\endgroup$ – Pandaglas Jun 1 '18 at 7:52
  • $\begingroup$ if you have something that works, go with it. if it doesn't work or you don't understand what is necessary to make it work, you might need to try something else. i wouldn't bother with the bottom octave from 10 to 20 Hz. you should consider what the conventional 31 band frequencies are $\endgroup$ – robert bristow-johnson Jun 1 '18 at 8:02
  • $\begingroup$ Actually, this calcul works with few points. But when I try to insert a table with 2 millions points, my computer is out of memory... To filter a z transform spectrum, I need to have a table of datas in output, no ? $\endgroup$ – Pandaglas Jun 1 '18 at 8:11
  • $\begingroup$ What do you mean by "You should consider what the conventional 31 band frequencies are" ? $\endgroup$ – Pandaglas Jun 1 '18 at 8:11
  • $\begingroup$ you're doing a 1/3 Octave spectrum analyzer over 10 octaves, right? including both fenceposts, that is 30+1 bands. they have standard frequencies: ...100, 125, 160, 200, 250, 320, 400, 500, 630, 800, 1000, 1250, ... $\endgroup$ – robert bristow-johnson Jun 1 '18 at 18:33

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