Friedman IR-Load

[Whizzinby]

It seems pretty straightforward to me. It's a load box with a stereo effects loop and a stereo power amp.

On behalf of all mouth breathers worldwide, I’m still not clear where the power amp voicing is coming from. It’s tuned to sound like a Friedman power amp from what I’ve seen, is that via a digital mechanism (call it model, filter, process etc) or is the SS power amp itself tuned to sound like a Friedman? IE is it purely analog or is there A/D conversion of the signal to apply some digital Friedman voicing?

 

[GuitarBilly74]

On behalf of all mouth breathers worldwide, I’m still not clear where the power amp voicing is coming from. It’s tuned to sound like a Friedman power amp from what I’ve seen, is that via a digital mechanism (call it model, filter, process etc) or is the SS power amp itself tuned to sound like a Friedman? IE is it purely analog or is there A/D conversion of the signal to apply some digital Friedman voicing?

Probably the same power amp simulation algorithm they use in the IR-X etc, just with the machine learning component added.

If that's the case, it's based off the BE100 power section. And it's actually a really good sounding power amp sim tbh

 

[politoleo]

On behalf of all mouth breathers worldwide, I’m still not clear where the power amp voicing is coming from. It’s tuned to sound like a Friedman power amp from what I’ve seen, is that via a digital mechanism (call it model, filter, process etc) or is the SS power amp itself tuned to sound like a Friedman? IE is it purely analog or is there A/D conversion of the signal to apply some digital Friedman voicing?

Send is analog, is the output of your amp in an accurate 3 LRC stages load (so one stage more than other loads on the market)

Then it get converted at return stage, and reamped using Synergy Machine Learning Poweramp.

When reactance is full, it will act as a Friedman poweramp. You don't want that for a tube poweramp as it will sound like two tube amp cascaded.

When reactance is zero, it will sound just like the amp that has being attenuated, retaining the same punch, which is the reason this product was developed in the first place, as current attenuator on the market weren't as transparent or as punchy.

The above is result of the machine learning poweramp thanks to its cabinet interaction capabilities

It is not a generic or common modeling or simulation, rather a mathematical approach to make a programmable fequency/current/voltage response.

 

[Whizzinby]

Send is analog, is the output of your amp in an accurate 3 LRC stages load (so one stage more than other loads on the market)

Then it get converted at return stage, and reamped using Synergy Machine Learning Poweramp.

When reactance is full, it will act as a Friedman poweramp. You don't want that for a tube poweramp as it will sound like two tube amp cascaded.

When reactance is zero, it will sound just like the amp that has being attenuated, retaining the same punch, which is the reason this product was developed in the first place, as current attenuator on the market weren't as transparent or as punchy.

The above is result of the machine learning poweramp thanks to its cabinet interaction capabilities

It is not a generic or common modeling or simulation, rather a mathematical approach to make a programmable fequency/current/voltage response.

Boom. Exactly what I’m trying to figure out.

So with Reactance at zero, is the digital conversion still occurring or is it just pure transparent power? Once the Reactance gets move from zero, that’s when digital conversion occurs with the Friedman voicing?

 

[paisleywookiee]

Send is analog, is the output of your amp in an accurate 3 LRC stages load (so one stage more than other loads on the market)

Then it get converted at return stage, and reamped using Synergy Machine Learning Poweramp.

When reactance is full, it will act as a Friedman poweramp. You don't want that for a tube poweramp as it will sound like two tube amp cascaded.

When reactance is zero, it will sound just like the amp that has being attenuated, retaining the same punch, which is the reason this product was developed in the first place, as current attenuator on the market weren't as transparent or as punchy.

The above is result of the machine learning poweramp thanks to its cabinet interaction capabilities

It is not a generic or common modeling or simulation, rather a mathematical approach to make a programmable fequency/current/voltage response.

Interesting, thank you for the information. So ideally for a tube amp, you'd want the zero reactance, unless you want it flavored. For use with a preamp, the higher reactance would give you BE power amp flavor. Very cool.

 

[politoleo]

Boom. Exactly what I’m trying to figure out.

So with Reactance at zero, is the digital conversion still occurring or is it just pure transparent power? Once the Reactance gets move from zero, that’s when digital conversion occurs with the Friedman voicing?

No it still converted and algorithm is going to make it sound as good, otherwise would still feel stiff and sterile like existing solution