Thanks so much for your reply! It is perfecto to me. I am working in some interesting things with chuck, and I trying to use the Wavelet Transform to get pith, flux, etc. Your reply is very useful for me.
2013/6/9 Perry Cook <[email protected]> > Either is fine, in fact the samples would be identical in this example. > > However, if you wanted to apply a gain scaling to the samples coming > from adc (as part of a more elaborate patch, for example), then the > gain labeled "input" would be the place to do it (I'll tell you why soon). > In the example I gave, we could set input.gain to 32768.0 then do the > cast of input.last() to int, saving the multiply. For that, you'd need to > connect adc through the Gain UG and to blackhole, because it doesn't > update/compute without that. > > Why wouldn't we just change the gain of adc? Well, as a matter of best > practices, that is a very bad idea. Turns out that since adc is a > persistent > and unique UG (like dac and blackhole), as long as the VM runs, the > gain change on adc is permanent and global! Imagine how surprised > another shred might be if it used adc and found the samples ranging > from -32767 to 32768. Bad idea, so I make my students always connect > adc to a Gain UG, just avoid the temptation of operating on adc directly. > > Also, if you connect adc => blackhole (or adc => dac), that connection is > also global and permanent, even though the shred that did it might end. > So again, operating on adc directly is not good practice. adc.last() is > perfectly fine at all times, but I just make my students avoid all use of > adc > directly. > > Hope this helps, > > PRC > > > > _______________________________________________ > chuck-users mailing list > [email protected] > https://lists.cs.princeton.edu/mailman/listinfo/chuck-users > -- Fernando Alonso MartÃn [email protected] http://roboticnaturalinteraction.com<http://www.roboticNaturalInteraction.com/famartin.html>
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