(buf)sines: amended the description to make the fftSize capping behaviour clear.

release-packaging/HelpSource/Classes/FluidBufSines.schelp

@@ -43,7 +43,7 @@ ARGUMENT:: residual
 	The index of the buffer where the residual of the sinusoidal component will be reconstructed.
 
 ARGUMENT:: bandwidth
-	The width in bins of the fragment of the fft window that is considered a normal deviation for a potential continuous sinusoidal track. It has an effect on CPU cost: the widest is more accurate but more computationally expensive.
+	The width in bins of the fragment of the fft window that is considered a normal deviation for a potential continuous sinusoidal track. It has an effect on CPU cost: the widest is more accurate but more computationally expensive.  It is capped at (fftSize / 2) + 1.
 
 ARGUMENT:: threshold
 	The normalised threshold, between 0 an 1, to consider a peak as a sinusoidal component from the normalized cross-correlation.
@@ -64,7 +64,7 @@ ARGUMENT:: hopSize
 	The window hop size. As sinusoidal estimation relies on spectral frames, we need to move the window forward. It can be any size but low overlap will create audible artefacts.
 
 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 allows an oversampling of the spectral precision.
+	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 allows an oversampling of the spectral precision. The -1 default value will default to the highest of windowSize and (bandwidth - 1) * 2.
 
 ARGUMENT:: action
 	A Function to be evaluated once the offline process has finished and all Buffer's instance variables have been updated on the client side. The function will be passed [sines, residual] as an argument.

release-packaging/HelpSource/Classes/FluidSines.schelp

@@ -22,7 +22,7 @@ ARGUMENT:: in
 	The input to be processed
 
 ARGUMENT:: bandwidth
-	The width in bins of the fragment of the fft window that is considered a normal deviation for a potential continuous sinusoidal track. It has an effect on CPU cost: the widest is more accurate but more computationally expensive.
+	The width in bins of the fragment of the fft window that is considered a normal deviation for a potential continuous sinusoidal track. It has an effect on CPU cost: the widest is more accurate but more computationally expensive. It is capped at (fftSize / 2) + 1.
 
 ARGUMENT:: threshold
 	The normalised threshold, between 0 an 1, to consider a peak as a sinusoidal component from the normalized cross-correlation.
@@ -43,7 +43,7 @@ ARGUMENT:: hopSize
 	The window hop size. As sinusoidal estimation relies on spectral frames, we need to move the window forward. It can be any size but low overlap will 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 allows an oversampling of the spectral precision. The -1 default value will default to windowSize.
+	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 allows an oversampling of the spectral precision. The -1 default value will default to the highest of windowSize and (bandwidth - 1) * 2.
 
 ARGUMENT:: maxFFTSize
 	How large can the FFT be, by allocating memory at instantiation time. This cannot be modulated.