Audacity Forum

So you want to built up a Kind of power spectrum density function. But instead of equal distanced bins you want one that is in octaves. I believe /3 and /7 octave is quite common for sonargrams. The first part is clear so far, White noise should have an flat spectrum with the same energy in all freq...

I do it in a similar way. But I put the files into the Nyquist Folder.
They are not found in the Plug-Ins Folder.
But I use those files anyway only in the Nyquist prompt.

I wouldn't say that. When you Import the file and do nothing, with the actual sample values, then dithering is not necessary. On the other Hand, any effect that you apply in 32 bit mode will produce sample values in that range to form smooth curves. As soon as you reconvert to 16 bit, the curvature ...

Lowpass filters are used in all Kinds of data gathering and analysis.
Your Graphs don't mean anything to me, I can't see them and therefore I can't help you in this direction.

I hope you don't want to create one or more Topics for each Crash/Problem you Encounter in Nyquist?
This could very well end up in a life-long occupation.
Write them down and summarize them on every thousandth occurancy.
The Picture gets sometimes clearer with some distance.

You can try a half step value of
-0.317667

Why not a lowpassfilter? Or the simpler snd-avg with a few sample average and 1 sample advance. I believe I've posted a simple lowpass filter example in the convolution DSP Topic in this subforum. It also contains a window function (hamming or blackman, don't remember) that you've not implemented so...

Maybe you should offer some more Details. It is not clear what you mean. (defun myeval (exp env) (princ "exp: ") (print exp) (princ "env: ") (print env) (evalhook exp #'myeval NIL env)) (setq *evalhook* #'myeval) (setf a t) (if a (print "true") (error "stop")) the code not even indicates that the el...

Do you use it to identify certain sounds? ([auto-]correlation) or for a FIR filter?

convolution is only faster for Responses under about 64 Tabs. In all other cases, FFT is prefered. The fft must be taken of both signals and the window length equal to (n+m)-1 (zero-padded). Convolution is equal to the multiplication of the two Frames. For longer sequences, STFT is used with an corr...