2017/12/20 06:14:22
sharke
Anyone used it? I watched a Groove3 tutorial recently in which they used an EQ that had fixed bands, and each one was based upon a convolution of the EQ bands on an analog console. Seems like a great idea on paper, but are they anything like they're cracked up to be? 
2017/12/20 17:55:11
drewfx1
sharke
based upon a convolution of the EQ bands on an analog console 




This just means it will match the frequency and phase response of whatever it was based on.
 
But it's just a matching EQ curve - there's no distortion/saturation or anything that people often consider to be desirable analog processing.
 
So if you think a given console has a "special" EQ curve, well OK. But it's just a particular EQ curve.
2017/12/20 21:00:02
dmbaer
As I understand it, a FIR (finite impulse response) filter is basically a convolution operation that stays in the time domain.  Convolution usually employs FFT conversions for efficiency's sake and FIR filtering does not, but either way it's convolution.  You can have a much longer set of samples involved when you go the FFT route, which is what is needed in convolution reverbs where there are sample lengths in the thousands.  Another way to put this is: convolution is essentially a filtering operation in the first place.
 
There's a bit of snake oil on sale here it would appear.
2017/12/20 23:17:09
drewfx1
dmbaer
As I understand it, a FIR (finite impulse response) filter is basically a convolution operation that stays in the time domain.  Convolution usually employs FFT conversions for efficiency's sake and FIR filtering does not, but either way it's convolution.  You can have a much longer set of samples involved when you go the FFT route, which is what is needed in convolution reverbs where there are sample lengths in the thousands.  Another way to put this is: convolution is essentially a filtering operation in the first place.
 
There's a bit of snake oil on sale here it would appear.




Yes, an FIR filter does straight convolution in the time domain (or something mathematically equivalent). And an IIR (infinite impulse response) filter - like an analog EQ - can be implemented as an FIR filter just by taking the impulse response and convolving it with your signal (because in the real world the impulse response isn't infinite), though FIR filters are less efficient. 
 
 
But personally I wouldn't call it "snake oil" unless they are misleading people by implying it's magically more than accurate reproduction of EQ curves (and I haven't actually seen what their marketing says). But then I also grade on a curve and sort of give a pass to companies that rely on their audience to read things into their marketing that they never actually explicitly say.
2017/12/21 00:12:58
sharke
I don't think anyone's suggesting it's anything more than a way to accurately reproduce an EQ curve. I just find it interesting that we can do that now, and wonder whether the results are good. 
 
Here's an example of what I was talking about - I've heard people raving about it and then saw it used in a mixing video the other day. http://www.acustica-audio...tuemart&Itemid=189
2017/12/21 01:07:32
drewfx1
sharke
I don't think anyone's suggesting it's anything more than a way to accurately reproduce an EQ curve. I just find it interesting that we can do that now, and wonder whether the results are good.

 
Reproducing an EQ curve accurately is easy - you take the impulse response and convolve it with your signal. The only downside is convolution is relatively costly in terms of processing power. Linear phase EQ's are FIR = convolution = more CPU intensive vs. typical EQ's which are generally IIR.


 
 
The Acustica stuff is different though and is not what we were talking about. They have been doing a non-linear variant of convolution:
 
http://www.acustica-audio.com/index.php?option=com_content&view=article&id=14&Itemid=2471
 
That allows for stuff other than just the frequency and phase response to be recreated. It is CPU heavy though.
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