Hello Ethan,
I appreciate your checking up on me with Bill Eppler, and I have indeed made a mistake. I called an amplifier manufacturer, Ralph Karsten of Atma-Sphere, and he corrected me - I should have been talking about "odd-order harmonics" instead of "higher order harmonics", though it is the higher odd-order harmonics that are most objectionable. I now think that the even-order harmonics are reduced as you have claimed (lower ones being reduced more than the higher ones), but not the odd-order harmonics.
To the best of my understanding, the mechanism is this: Odd-order harmonics are an artifact of propagation delay as the feedback signal goes back to the point where it's fed into the signal path again out-of-phase. Odd-order harmonics are rare and unnatural in nature, and the ear interprets them as loudness cues - so they are much more audible than naturally-occuring harmonic structures.
The Geddes and Lee papers are well worth reading, and the proposed GedLee metric looks at the shape of the transfer function rather than using traditional THD or IM measurements.
By way of introduction to the papers, and eventually coming back to the issue of how .01% THD can be not only audible but unacceptable, let me pull a few quotes from Geddes' book, "Audio Transducers":
"Historically, the audio community has viewed distortion in the context of a system's nonlinear response to a sinusoid or sometimes, two or more sinusoids, basically a signal based metric. A metric is a value which is given to a system to indicate its relative scaling within some predefined context. For instance, temperature is a metric when the context is human perception. We can describe the preception of temperature in words like hot, warm, cool, or cold. Since temperature also has an exact scientific scaling, it is a simple matter to map from the subjective metric to the physical one, although we must remember that the subjective terms are relative and precise mapping is not possible. Whenever human perception is involved, metrics can only ever be statistically relevant.
"The current metrics of distortion are, Total Harmonic Distortion (THD), Inter-Modulation Distortion (IM), multi-tone intermodulation, etc., all expressed as a percentage - the ratio of the the distortion by-product to the total system output....
"With a reliable metric we could base psychoacoustic studies on it and the same mapping could be done for transducer [or amplifier] distortion as we described for temperature. But to be useful a metric must be consistent - the same number must mean the same thing in every context and there must be a close correlation between the metric and the subjective response. This is where the signal-based distortion metrics fail. It can be shown that .01% THD in an amplifer can be perceived as unacceptable while a 1% THD in a loudspeaker can be perceived as inaudible [in the "Theory" paper, .01% and 10% are the figures given, but "amplifier" and "loudspeaker" are not mentioned]. This simple fact invalidates THD as a viable metric for the discusion of perception. Furthermore [as you noted!], 1% THD is not at all the same as 1% IM. Some of the signal-based metrics may be "better" than others, but in our opinion they all fall short of what we are seeking....
"The attribute of hearing that overwhelming dominates our perception of distortion is masking... Masking has no analog in linear systems theory and is not very intuitive since it does not occur in common systems other than the ear....
"From our knowledge of masking we may postulate the following two fundamental characteristics:
- Masking is predominantly upward toward higher frequencies although masking does occur in both directions.
- The masking effect widens - masking occurs farther away from the masker - at a substantial rate with excitation level.
"....We can see that higher order distortion products are not masked as well as lower order ones and that the masking effect is greater at the higher signal level. Low order distortion at a high signal level is completely masked in this figure [an illustration in the book]. The higher order distortion is never masked, but it would become more audible at lower levels.
"....These statements give rise to our hypothesis for a new approach to quantifying nonlinearity (distortion):
- Nonlinearity within the specified operating range should be of low order - the importance of the order being weighted by (n-1)squared where n is the order of the nonlinearity (n>1).
- No order should increase with decreasing input level.
"Consider now our first example of the failure of THD to differentiate between loudspeaker distortion and amplifier distortion. If the amplifier has crossover distortion then this type of nonlinearity violates both of our principles - it is both very high order and it increases (as a proportion of the linear terms) with decreasing signal level. One would expect, based on our hypothesis, that this type of distortion would be highly objectionable and it is [I'm pretty sure that amplifier crossover distortion producing a THD reading of .01% is what he was referring to earlier]. Now consider a loudspeaker. Unless it has some severe design or manufacturing problems, it will have low orders of nonlinearity and the distortion will only rise with level. Based on our principles, we should expect this type of distortion to be benign, almost inaudible, and in fact this is what we find to be true.....
"So basically our new "metric" is the actual parameters of the nonlinear components themselves, or the frequency response of the orders, weighted by their order and required to only grow with level (again relative to the linear term). It is not that uncommon to see discussions of the 2nd and 3rd order nonlinearity - we did it ourselves - but it is rare to see a discussion of the higher order nonlinearity. If increasing order are indeed more audible than lower orders then limiting our discussion to only the lower two orders is seriously flawed. The ROOT CAUSE of distortion is the underlying nonlinearity of the system or subsystem and the correct way to discuss nonlinearity is with the orders of its nonlinear transfer function. When one views the distortion problem in this way, signal based distortion metrics (IM, THD, etc.) become irrelevant." (Taken from pages 236 - 241 of "Audio Transducers" by Earl Geddes.)
I don't offer this as "proof" - rather, I offer it as an attempt to explain the mechanism of distortion perception. The proof (or at least supporting data) is in the papers, but much of the math is over my head.
Regarding your test of the audibility of a 3 kHz signal in the presence of a 100 Hz signal that's 80 dB louder, I think this is applicable to distortion perception but I am not sure how much so (the 3 kHz signal is another sine wave rather than a distortion, so it might be more tolerable than a distortion would be). Note also that signal level would play a role - if the 100 Hz signal is at a level of 70 dB, and the 3 kHz signal is 80 dB down, then it's not surprising that the 3 kHz signal would be undetectable. Finally, correct me if my math is wrong here, but I think that .01% would be four orders of magnitude down in level, or 40 dB down relative to the main signal, instead of 80 dB down.
Thanks,
Duke