(buf)audiotransport now has a valid bandwidth explanation

release-packaging/HelpSource/Classes/FluidAudioTransport.schelp

@@ -25,13 +25,13 @@ ARGUMENT:: interpolation
 The amount to interpolate between A and B (0-1, 0 = A, 1 = B)
 
 ARGUMENT:: bandwidth
-Someone tell me
+The width in bins of an ideal sine wave, which is correlated with the spectrum for peak detection. Larger values provide enhanced resolution, at a computational cost.
 
 ARGUMENT:: windowSize
-	The window size in samples. As HPSS relies on spectral frames, we need to decide what precision we give it spectrally and temporally, in line with Gabor Uncertainty principles. http://www.subsurfwiki.org/wiki/Gabor_uncertainty
+	The window size in samples. As AudioTransport relies on spectral frames, we need to decide what precision we give it spectrally and temporally, in line with Gabor Uncertainty principles. http://www.subsurfwiki.org/wiki/Gabor_uncertainty
 
 ARGUMENT:: hopSize
-	The window hop size in samples. As HPSS relies on spectral frames, we need to move the window forward. It can be any size but low overlap may create audible artefacts. The -1 default value will default to half of windowSize (overlap of 2).
+	The window hop size in samples. As AudioTransport relies on spectral frames, we need to move the window forward. It can be any size but low overlap may create audible artefacts. The -1 default value will default to half of windowSize (overlap of 2).
 
 ARGUMENT:: fftSize
 	The inner FFT/IFFT size. It should be at least 4 samples long; at least the size of the window; and a power of 2. Making it larger than the window size provides interpolation in frequency. The -1 default value will use the next power of 2 equal or above the windowSize.

release-packaging/HelpSource/Classes/FluidBufAudioTransport.schelp

@@ -54,7 +54,7 @@ ARGUMENT:: interpolation
 The amount to interpolate between A and B (0-1, 0 = A, 1 = B)
 
 ARGUMENT:: bandwidth
-Someone tell me
+The width in bins of an ideal sine wave, which is correlated with the spectrum for peak detection. Larger values provide enhanced resolution, at a computational cost.
 
 ARGUMENT:: windowSize
 	The window size. As spectral differencing relies on spectral frames, we need to decide what precision we give it spectrally and temporally, in line with Gabor Uncertainty principles. http://www.subsurfwiki.org/wiki/Gabor_uncertainty