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sound analyzer for automating quality checks?
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MasterT:
KGB used the books to "program" a human-beans into "android-alike" robots. 
Than NLP - Neuro-Linguistic Programming become very popular.
Some poor guys never realize they were robots all theirs miserable lives.

I'm saying this to warn "not to read" any crap you may find in the library or on the internet. It may and will be used against you.
rhb:
Humans have been programmed since they first appeared on the planet.  It's called child rearing.  Unfortunately most of the parents of the 20 something generation didn't actually do that they left it to Mr. Rogers, Sesame Street and the rest of the crap on TV.

Most people are robots but don't realize it and would vehemently deny it.

None of this has anything to do with this thread or with electronics or technology in general.  So please take it elsewhere.
rhb:
I had an interesting insight into the ambient noise problem when I went to bed last night.  I don't know why, but this is a common occurrence. I think it's because I take my brain out of gear and just let it idle.

There are three sensible approaches to the problem:

1)  Subtract an average ambient noise spectrum from the result.  That works OK if the noise characteristics are time invariant.

2)  Use  number of ambient noise spectra in an SVD-KL decomposition.  That will work quite well, but doesn't provide very good separation between device noise and ambient noise.

3) Use a large number of ambient noise spectra collected over several days and place them in the dictionary for a basis pursuit.  Increase the allowed number of non-zero coefficients in x from 4 to 5, the 4 gear trains and the ambient noise.

The last of these is sufficiently advanced to qualify as an MS thesis topic anywhere.  Probably not quite PhD dissertation topic grade in mathematics at a first rank school, but close.  And very likely it would qualify at Stanford levels for a PhD in Industrial Engineering and statistical process control.

The fundamental L0 problem is NP-hard.  It's the classic combinatorial problem.  The optimal answer requires evaluating the residual error for every cobination of 5 vectors drawn from a set of 10,000 or more. The really big deal about the L0-L1 equivalence paper by Donoho that I cited earlier is that Donoho proved that *if and only if* you get a sparse result using an L1 norm, it is the L0 norm optimal result.  He has also shown by arguments from convexity in N dimensional space that you are overwhelmingly likely to get an answer. The GLPK solver can make the selection of vectors from a set of 50,000 in L1 time,  though not in 1 second.

However, Donoho later presented a solution technique drawn from the theory of regular polytopes in N dimensional space which I *think* is trivially parallel.  And work on the MRI video problem has led to other work on fast solutions.  I've not read any of the literature published since 2015-2016, so I don't know the current state of the art.
MasterT:

--- Quote from: rhb on January 17, 2019, 06:19:20 pm ---None of this has anything to do with this thread or with electronics or technology in general.  So please take it elsewhere.

--- End quote ---

I'm perfectly aware of censorship that each my post goes through,  and don't feel a joy to talk with AI or retarded. So really don't care about the membership.

But I did a quick research on the obsession someone has with a book. Using search box in the upper right corner of this page:
1. Word "Donoho" was referenced 23 times by he same poster.
2. Word "Mallat" --//--     11 times just for last year.

Is it right time  to visit a doctor?
rhb:

--- Quote from: MasterT on January 17, 2019, 09:28:58 pm ---
--- Quote from: rhb on January 17, 2019, 06:19:20 pm ---None of this has anything to do with this thread or with electronics or technology in general.  So please take it elsewhere.

--- End quote ---

I'm perfectly aware of censorship that each my post goes through,  and don't feel a joy to talk with AI or retarded. So really don't care about the membership.

But I did a quick research on the obsession someone has with a book. Using search box in the upper right corner of this page:
1. Word "Donoho" was referenced 23 times by he same poster.
2. Word "Mallat" --//--     11 times just for last year.

Is it right time  to visit a doctor?

--- End quote ---

Absolutely, you should make an appointment with a dementia specialist as soon as possible.
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