IM Distortion, Speakers and the Death of Science


One topic that often comes up is perception vs. measurements.

"If you can't measure it with common, existing measurements it isn't real."

This idea is and always will be flawed. Mind you, maybe what you perceive is not worth $1, but this is not how science works. I'm reminded of how many doctors and scientists fought against modernizing polio interventions, and how only recently did the treatment for stomach ulcers change radically due to the curiosity of a pair of forensic scientists.

Perception precedes measurement.  In between perception and measurement is (always) transference to visual data.  Lets take an example.

You are working on phone technology shortly after Bell invents the telephone. You hear one type of transducer sounds better than another.  Why is that?  Well, you have to figure out some way to see it (literally), via a scope, a charting pen, something that tells you in an objective way why they are different, that allows you to set a standard or goal and move towards it.

This person probably did not set out to measure all possible things. Maybe the first thing they decide to measure is distortion, or perhaps frequency response. After visualizing the raw data the scientist then has to decide what the units are, and how to express differences. Lets say it is distortion. In theory, there could have been a lot of different ways to measure distortion.  Such as Vrms - Vrms (expected) /Hz. Depending on the engineer's need at the time, that might have been a perfectly valid way to measure the output.

But here's the issue. This may work for this engineer solving this time, and we may even add it to the cannon of common measurements, but we are by no means done.

So, when exactly are we done?? At 1? 2? 5?  30?  The answer is we are not.  There are several common measurements for speakers for instance which I believe should be done more by reviewers:

- Compression
- Intermodulation ( IM ) Distortion
- Distortion

and yet, we do not. IM distortion is kind of interesting because I had heard about it before from M&K's literature, but it reappeared for me in the blog of Roger Russel ( http://www.roger-russell.com ) formerly from McIntosh. I can't find the blog post, but apparently they used IM distortion measurements to compare the audibility of woofer changes quite successfully.

Here's a great example of a new measurement being used and attributed to a sonic characteristic. Imagine the before and after.  Before using IM, maybe only distortion would have been used. They were of course measuring impedance and frequency response, and simple harmonic distortion, but Roger and his partner could hear something different not expressed in these measurements, so, they invent the use of it here. That invention is, in my mind, actual audio science.

The opposite of science would have been to say "frequency, impedance, and distortion" are the 3 characteristics which are audible, forever. Nelson pass working with the distortion profile, comparing the audible results and saying "this is an important feature" is also science. He's throwing out the normal distortion ratings and creating a whole new set of target behavior based on his experiments.  Given the market acceptance of his very expensive products I'd say he's been damn good at this.

What is my point to all of this?  Measurements in the consumer literature have become complacent. We've become far too willing to accept the limits of measurements from the 1980's and fail to develop new standard ways of testing. As a result of this we have devolved into camps who say that 1980's measures are all we need, those who eschew measurements and very little being done to show us new ways of looking at complex behaviors. Some areas where I believe measurements should be improved:

  • The effects of vibration on ss equipment
  • Capacitor technology
  • Interaction of linear amps with cables and speaker impedance.

We have become far too happy with this stale condition, and, for the consumers, science is dead.
erik_squires
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You are assuming that AI is algorithmic and must follow the rules of a Turing machine. There is no such restriction.
«A quantum Turing machine (QTM) or universal quantum computer is an abstract machine used to model the effects of a quantum computer. It provides a simple model that captures all of the power of quantum computation—that is, any quantum algorithm can be expressed formally as a particular quantum Turing machine.«
Wikipedia will suffice....Have you read the world ALGORITHM in this wiki citation?


Hint: read about Hilbert spaces and the corresponding Turing Tape....

The only difference between a regular Turing machine and a quantum Turing Machine is the number of bits, countable in classic T. machine or Uncountable in the Quantum Turing machine....The A. I. is more captive than ever in an uncountable realm without the symbolic connection that links all together the living organism and their universal uncountable memory...

The difference between bits and Qbits dont abolish the difference between calculus, be it quantum, and symbolic creation of concepts...


A. I. cannot understand infinities even if his power is linked to the quantum realm...


The quantum computer will not be able to know when to halt, or going on, no more than a normal Turing machine,....

To know when to halt we need a concept or more trivially a living body vulnerable to fatigue or boredom, all 3 things alien to an artificial machine .... We called that a living brain- body... :)



implying that AI must be algorithmic which I have repeatedly said is not the case and which you either
Go and correct Wikipedia and after that all quantum computer books....Qbits is part of algorithmic theory....Good luck with the correction... :)


It seems that it is you that dont understand what is algorithm theory.... Then understanding the concepts and symbolic creation is over your head...

hint: Dont reduce yourself to the level of maths in a machine.... Learn poetry, it will be a counter exercise to liberate your brain of the machine like programs that inhabit you....
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I am not sure you understand the difference between an algorithmic result, i.e. 1+1 = 2, and a stochastic result, i.e. ~1 ~+ ~1 ~= ~2. Most adult will immediately get 1+1 = 2
Stochastic results or methods dont invalidate what I speak about when I speak about Turing Machine, quantum Turing machine, or A. I. in general which is neural networks Turing machine linked to quantum Turing machine... Stochastic methods are part of the algorithmic training of neural networks....

Why do you keep insisting an AI must be a touring machine and algorithmic?
Because I cannot correct all the books in the world to please you.... :)


…. it is plain for others to see that you dont know the general limits and power of the algorithmic concept.... You CANNOT understand even less the more complex symbolic concept creation that is way more powerful and over engineering thinking …. It is over your head now.... Sorry....

The argument that Cassirer life being some decade ago invalidate his thinking about symbolic process is ridiculous....A. I. is algorithmic in essence even at the quantum engineering level...

But there exist an "artificial soul" for machine.... But I doubt that I can explain this idea to you.... :) 

Like I already said mathematics is not reducible to algorithmic theory of any kind, classical one or quantum one....