You can just do this for DACs as well. You’ll end up with an equivalent result: there will be no preference, meaning people cannot tell one from another.Those were preference tests of speakers. Not transparency tests of DACs.
Why does it matter?Anybody here have some insight into the DSP technology that is employed by the WADAX DAC architecture?
It is contextual to presumptions made about the DAC performance in juxtaposition to any DAC that fits your definition of 'transparent'Why does it matter?
we measure the performance of "error correction" with distortion and frequency response measurements. most quality DACs have zero issues there (if you're very young, you might hear some difference in the top octave of human-audible frequencies since filter implementations vary, but if you're in the market for a $300K DAC it's unlikely you still have the hearing to discern any of it). throwing overkill at a non-problem isn't going to improve anything."The Studio Player benefits from Wadax’s proprietary “musIC 3” feed-forward error-correction system that operates in the time domain. According to Wadax, “by mapping the error mechanisms of a chosen DAC chip under load using Adaptive Delta Hilbert Mapping, we can develop an algorithm that examines the incoming signal and calculates the induced error (both linear and nonlinear) that will result. By applying an inverse signal at the input, we can real-time correct for the time and phase error that is so musically destructive in other, conventional decoding systems. This process requires a massive number of mathematical operations and a considerable data transfer rate of 12.8GBytes/s. Processing is done at 128-bit internal resolution to precisely render the output and generate the smallest feed-forward corrections.” This Wadax-developed technology has proven itself in the Reference DAC."
Is time and phase taken into account? Isn't this part of the science of audio?we measure the performance of "error correction" with distortion and frequency response measurements. most quality DACs have zero issues there (if you're very young, you might hear some difference in the top octave of human-audible frequencies since filter implementations vary, but if you're in the market for a $300K DAC it's unlikely you still have the hearing to discern any of it). throwing overkill at a non-problem isn't going to improve anything.
Remember: transparent is not the benchmark here. Transparent is easy. The benchmark is the input signal. If we play a multitone signal via the DAC, we know exactly what we would expect to come out. So we can measure it, and deduce how much it differs from the optimal.It is contextual to presumptions made about the DAC performance in juxtaposition to any DAC that fits your definition of 'transparent'
I don't understand why this touches a nerve here... especially when there is no desire to dissect the concepts proposed in the DSP processing using Hilbert Mapping that has relevance to audio science and subjective psychoacoustic perception... you keep talking about measurable transparency as the arbiter of all things relevant in juxtaposition to the WADAX design architecture and the relative value proposition... Is this DSP not relevant in the general perspective regarding this particular DAC architecture?For sure, is some interesting technology is going on in that box, it’s fun to know about it and geek out over it. But that’s a totally different thing.
Um, you have only to look at test data on this site for other DACs for your answer. Jitter is easy to spot.Is time and phase taken into account? Isn't this part of the science of audio?
No, engineers have been working exclusively inside a black hole, where time and phase do not exist, and only now, through the proper juxtaposition of luxury prose and DAC marketing, has audio science become contextual to causality.Is time and phase taken into account? Isn't this part of the science of audio?
Is this DSP only looking at noise related jitter or is it an amalgamation of influences in the DAC architecture that are under control...?Um, you have only to look at test data on this site for other DACs for your answer. Jitter is easy to spot.
You can’t have a technical discussion when there’s no technical substance being disclosed.I don't understand why this touches a nerve here... especially when there is no desire to dissect the concepts proposed in the DSP processing using Hilbert Mapping that has relevance to audio science and subjective psychoacoustic perception... you keep talking about measurable transparency as the arbiter of all things relevant in juxtaposition to the WADAX design architecture and the relative value proposition... Is this DSP not relevant in the general perspective regarding this particular DAC architecture?
There is no scientific reference to Hilbert Mapping in digital-audio system design?You can’t have a technical discussion when there’s no technical substance being disclosed.
Amalgamated Jitter could be a great name for a really geeky band.Is this DSP only looking at noise related jitter or is it an amalgamation of influences in the DAC architecture that are under control...?
“Hilbert Mapping” isn’t a common term. A “Hilbert Transform” is a common term and it’s an operation used for signal analysis, but can also be used to create FIR filters, for instance for a DAC low-pass filter.There is no scientific reference to Hilbert Mapping in digital-audio system design?
Yes.Is time and phase taken into account? Isn't this part of the science of audio?
There is nothing to "dissect", it is meaningless marketing mumbo jumbo.I don't understand why this touches a nerve here... especially when there is no desire to dissect the concepts proposed in the DSP processing using Hilbert Mapping that has relevance to audio science and subjective psychoacoustic perception... you keep talking about measurable transparency as the arbiter of all things relevant in juxtaposition to the WADAX design architecture and the relative value proposition... Is this DSP not relevant in the general perspective regarding this particular DAC architecture?
We could start here:“Hilbert Mapping” isn’t a common term. A “Hilbert Transform” is a common term and it’s an operation used for signal analysis, but can also be used to create FIR filters, for instance for a DAC low-pass filter.
All else is just speculation… there is way too little information to come to any sensible conclusion on what is really going on. Who’s to blame for that, do you think?
Why not ask WADAX?We could start here:
Hilbert Transform Design Example | Spectral Audio Signal Processing
Hilbert Transform Design Example We will now use the window method to design a complex bandpass filter which passes positive frequencies and rejects...www.dsprelated.com
....And extrapolate into the potentials of the WADAX algorithm... How would you go about measuring this to make a definitive conclusion about 'transparency' and the psychoacoustic value of the DSP as implemented in the DAC architecture anyway?