How do I get from FWT to Log-Freq Spectrum?

How can I get from the Fast Wavelet Transform (such as using Wave++
library for example) to a Log-Frequency Spectrum? I understand fourier
theory fairly well (for a computer programmer) and the basics of
discrete wavelet transforms. I understand how the discrete wavelet
transform can be compared to a constant-q filter bank. What I don't
understand is how can the different signals from the "filter bank"
output be turned into a log-frequency spectrum directly? It seems to be
that each filter bank output signal (per band) has to have some sort of
amplitude analysis or perhaps another transform to get the magnitude
for each log-freq? if that is the case, wouldn't i need a LOT of bands
if its just an amplitude calculation? Plus, the wavelet transform
allows for energy near time t but perhaps not at t+k for some arbitrary
log-frequency - how can looking at a log-frequency spectrum display
that? the log-frequency spectrum i am needing is exactly like an FFT,
except the bins are on a log-scale. I heard FWT is faster and if i can
get a log-frequency spectrum from that faster than rescaling an FFT
operation, then i'll do it. thanks.

I know what you are trying to do. You probably want to compute an
octave spectrum like what B&K instrument does.I don't think there is a
direct way to transform discrete wavelet transforms to FFTs. You can
simply apply FFTs to multiple stages of data streams after they are
decimated. Then you synthesize FFT "bins" into octave spectra.

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