Technical and Technical IP questions for Ion

Coming in late here and am not entirely clear what the point of the thread is but I had believed that the factorization used in the FFT was first described by Gauss.

Also, not all Americans are ugly and stupid. Ion's is a demonstrably false statement.
 
I though I said in the other thread right up front that not all Americans are ugly or stupid. That claim to fame is global...
 
LucyR said:
Coming in late here and am not entirely clear what the point of the thread is but I had believed that the factorization used in the FFT was first described by Gauss.

Yes, but for some reason he's focussed on Goertzal's one-liner.
 
jj said:

...
...and he hasn't replied since he logged in this afternoon.
...
jj,

in the thread that triggered this one, I did write that I have time constraints.

When I logged in yesterday afternoon I was at work.

I read carefully what you posted and put it in the back shelf until now Saturday evening -because other things asked from me were pressing-.

I post from work a little more than one liners, but for more profound things like in this thread I need a quiet time that I don't owe to other planned things.

Your posts dilute in many directions which I am not going to address.

I will streamline the thread on this:
jj said:
Oh, yes, I should note, the 1-line transform Ion is pointing out is in fact earlier than Cooley-Tukey, but has nothing to do with an FFT. It's a one-line transform. (meaning it only calculates one line per pole pair, requiring order N operations per line).

He said he was talking about FFT's, and there is some later work regarding multiple factorizations I thought he was referring to. It's quite useful, too, of course, but doesn't predate Cooley and Tukey.
...
The statement "...I should note, the 1-line transform Ion is pointing out is in fact earlier than Cooley-Tukey, but has nothing to do with an FFT...." posted above is incorrect.

Take this quiz, jj:

1.) F.F.T algorithms are based on the principle of decomposing the computation of the Discrete Fourier Transform of a sequence of length N into successively smaller Discrete Fourier Transforms.

Do you agree with this statement, yes or no?

2.) I posted this:
Ion said:

...
A N points D.F.T. of frequency k is:
...
X[k] = (Summation from n = 0 to N-1 of) x(n).exp(-j.k.pi/N)

= (Summation from r = -infinity to +infinity of) x(r).exp(-j.2.pi.(-k.(n-r))/N).u[n-r] for n=N

(where u(n-r) is the unit step)

= denoted as kth. tap of y[n] for n=N

It is a discrete convolution of the finite-duration sequence x[n] with the sequence kth. tap of y[n].
...
This means that the D.F.T result, X[k], is equivalent to the kth. tap of y[n] when n = N.

It implies that the algorithm generates one output result only after N input samples have ocurred:

since any other value of the kth. tap y[n], in which n is different than N, does not contribute to the end result of the D.F.T., X[k], there is no need to compute kth. tap of y[n] until n = N.

Do you agree, yes or no?


3.) If you answered yes to 2.), then it is a smaller D.F.T..

Do you agree with this statement, yes or no?

4.) If you answered yes to 1.) and 3.), then the statements

"...F.F.T algorithms are based on the principle of decomposing the computation of the Discrete Fourier Transform of a sequence of length N into successively smaller Discrete Fourier Transforms..."

and

"...it is a smaller D.F.T."

are valid.

Q.E.D..
 
jj said:

The fact that you don't know much about it, though, is just what Ion is counting on. He's made a bunch of very streched arguments to support his contention that americans are ugly and stupid, I took him to task, and he's trying to confuse the issue with a great big cloud of foul wind.



It's kind of what is happenning to a poster regarding his method of analyzing medium transcripts. You following that one JJ? If so, what is your opinon on if the letter counts are independent or not?
 
LucyR said:
...
...the factorization used in the FFT was first described by Gauss.
...
and
jj said:

Yes, but for some reason he's focussed on Goertzal's one-liner.
Gauss' work in 1805 is German.

Goertzel's work in 1958 is German.

"...Goertzal..." does't exist except in your learnings, but Goertzel does.

Its solidity beats in computation the flurry of F.F.T.s 'publish or perish' that followed the algorithm by Cooley and Tukey from 1965:

like I told you, the Goertzel's algorithm is the standard employed in Dual Tone Multi Frequency Detection in the U.S., no matter how much U.S. does its flaky 'publish or perish' in universities.
LucyR said:

...
Also, not all Americans are ugly and stupid. Ion's is a demonstrably false statement.
Who, me?

I didn't say "...all...".

I generalized.

Which is different than "...all...".
 
Ion said:

and

Gauss' work in 1805 is German.

Goertzel's work in 1958 is German.

"...Goertzal..." does't exist except in your learnings, but Goertzel does.


Stop dodging. It's time to admit that your claim about the FFT was so absolutely, totally, utterly misleading as to be false, and not only that, conciously constructed by YOU as an intentionally FALSE representation stealing credit from Cooley and Tukey.


Its solidity beats in computation the flurry of F.F.T.s 'publish or perish' that followed the algorithm by Cooley and Tukey from 1965:


It does no such thing. Goertzal is only useful if you need less than log2(n) lines out of the N lines in a radix-2 fft, basically, perhaps with a small scaling factor.

If you need the whole complex spectrmGoertzel has numerical stability problems (because it uses a truncated IIR to mimic an FIR), it requires more computation, memory (can't be done in-place), and complexity in the standard kind of programming structure.

You claimed it was more efficient. You attempted to extend the fact that it's more efficient if you only need a few of the 'n' lines to a false general claim that it was just "more efficient" tha a DFT, but it's much LESS efficient if you need anything more than a few lines out of 'N'.



like I told you, the Goertzel's algorithm is the standard employed in Dual Tone Multi Frequency Detection in the U.S., no matter how much U.S. does its flaky 'publish or perish' in universities.


The implimentation of which only requires a few lines, not an entire FFT spectrum. Yes, we know that. Is there some reason you keep avoiding this simple, obvious fact? You really ought to do your homework, and see what all your opponent has worked on.

Oh, and WHO was it invented the touch-tone system? You haven't answered THAT question, either.

Goertzel is useful only when you ONLY NEED A FEW LINES. Otherwise it's less efficient, it has numerical stability problems, etc.

There's nothing wrong with it, in the right place, but you're claiming it's an FFT, and it's not. It's a SINGLE LINE out of an FFT.

Why did you engage in this deception?

And we can all go back to see what you said about americans. Stop trying to weasel out of that, too.
 
Ion said:
Your posts dilute in many directions which I am not going to address.

My posts discuss mistaken or misleading assertions you've made.

What's wrong, starting to realize you bit off more than you could chew?

What happened, did you think you could just blow this past everyone?

The statement "...I should note, the 1-line transform Ion is pointing out is in fact earlier than Cooley-Tukey, but has nothing to do with an FFT...." posted above is incorrect.

It is entirely correct. An FFT is a particular implimentation of a DFT. A DFT is a sampled, time-limited Fourier Transform.

Take this quiz, jj:

1.) F.F.T algorithms are based on the principle of decomposing the computation of the Discrete Fourier Transform of a sequence of length N into successively smaller Discrete Fourier Transforms.

True, and irrelevant.


Do you agree with this statement, yes or no?

2.) I posted this:

This means that the D.F.T result, X[k], is equivalent to the kth. tap of y[n] when n = N.

That's incoherent. Until you can convey what you mean, I'm not going to bite. I think you're just trying to be ambiguous here so that you can wobble back and forth when you get caught again.

It implies that the algorithm generates one output result only after N input samples have ocurred:

True for FFT, DFT, and many other things, oh, say, discrete Hadamard-Walsh, KLT, etc, if you take their basic formulation. Of course, you can write them in nearly any sensible oversampling ratio, too. You can overlap add, with or without windowing, with or without frequency-domain decimation, with or without TDAC, etc, etc. There is MUCH more to the subject than you seem to be allowing here. Perhaps you ought to get Rico Malvar's excellent book on OBT's?

There are as many kinds of discrete, time-limited transforms as there are basis vectors. Even when they have the same basis vectors, claiming commonality based on a single property of many is simply suborned logic on your part.

Some can be overlapped, some can't, really (ever use a numerical transform? I have.), and when they start and stop, or overlap, is the subject of much discussion in short-time frequency analysis, signal detection, filterbank design, and so on.

since any other value of the kth. tap y[n], in which n is different than N, does not contribute to the end result of the D.F.T., X[k], there is no need to compute kth. tap of y[n] until n = N.

Incoherent again
Q.E.D.. [/B]


Even if I were to put the most positive spin I can imaging on your codswallop, you haven't established a single thing that shows that Goertzal anticipates the FFT other than in a very general way that does anticipate the basic idea of twiddles and (barely) prime radix factorization.

Goertzal is a nice, simple way of calculating one or a few lines out of MANY.

The FFT does them all at once.

Saying "Goertzel is faster" is an incomplete and misleading statement. Why did you say that?

That's why the FFT so useful when you need more than a few lines.

You have your nose buried in DTMF signalling, well, since you only have a set of 8 tones, you can afford to get about 10-12 or so (don't know how many you select to verify tone vs. background, and don't much care) lines, so you can use Goertzel to advantage.

But that's not an FFT, it's a small part of an FFT. You implied directly that Goertzel WAS an FFT, a WHOLE FFT, and not part of one.

Now, let's get back to your absurd claim that FIR filters can be unstable. You haven't addressed anything there yet. Would you like to try? Since you made an utterly nonsensical mistake, one that is visible to anyone who even knows the remotest bit about signal processing, and since you tried to fake your way out of it by pointing out that one CAN impliment an FIR in some cases by using IIR structures and time truncation (but they, like Goertzel's filters, are still completely, absolutely IIR, not FIT), attempting to confuse the fact of the filter length with an implimentation detail, I guess you want drubbed on that one, too.

You haven't answered any (well, maybe one of about 2 dozen points, none major) of the major points in my original question.

Please attend to this complete lack of response immediately.

Look, I can write these articles in 3 minutes flat without a text. If I can, you MUST be able to, since you've clearly and incontrovertably implied entirely superior expertise to mine.

If that's the case, why are you so wrong? What's with this unstable FIR filter? Why won't you admit to the difference between getting SOME outputs that are nearly the same as FFT outputs (but that have more noise and word truncation problems, something that doesn't affect your app,but does affect many real algorithms) and getting the whole complex spectrum like an FFT does?

You're beaten. You blew smoke, you got caught, and you haven't the sense to realize that you are only getting yourself into more and more trouble, with less and less chance of recovery.

If you go to ICASSP this year, you owe me a beer of my choice. (Do they have real beer in Canada? :D )

Don't worry, it won't be hard to find me.

Oh, and need I remind you that you're not using Goertzel for a transform, but rather for a tuned filter set? That's no crime, but it's no full transform, either.
 
T'ai Chi said:



It's kind of what is happenning to a poster regarding his method of analyzing medium transcripts. You following that one JJ? If so, what is your opinon on if the letter counts are independent or not? [/B]

WhoChi, we're well acquainted with your disputatious interpretations of ESP experiements.

You've made a serious allegation about someone, I trust you've got entirely all of the evidence to back it up to any level of certification you might ever need, right? Let's start with the raw data, and ask about the experimental controls, shall we?
 
jj said:

WhoChi, we're well acquainted with your disputatious interpretations of ESP experiements.
You've made a serious allegation about someone, I trust you've got entirely all of the evidence to back it up to any level of certification you might ever need, right? Let's start with the raw data, and ask about the experimental controls, shall we?

You entirely avoided the question, so I'll ask again, what is your opinon on the letter/name counts being independent?

Sorry, if you don't know which thread I'm referring to, but are interested, PM me. I don't want to derail your debate in this thread.
 
jj said:


Even if I were to put the most positive spin I can imaging on your codswallop, you haven't established a single thing that shows that Goertzal anticipates the FFT other than in a very general way that does anticipate the basic idea of twiddles and (barely) prime radix factorization.

Goertzal is a nice, simple way of calculating one or a few lines out of MANY.

The FFT does them all at once.

Saying "Goertzel is faster" is an incomplete and misleading statement. Why did you say that?
...
I think that you have to eat your politically correct words of "...bigot...", "...misleading...", "...oozes...", don't play being an authority and learn Goertzel, jj.

That algorithm that I submitted is the Goertzel in D.T.M.F. Detection.

The second-order recursive computation by means of Goertzel computes a new kth. tap of y[n] output for every new input sample x(n).

For an N-point D.F.T., N*N complex coefficients are needed.

The Goertzel algorithm needs only two coefficients for every frequency:

.) one real 2*cos(2*pi*k/N)

.) one complex -exp(-j*2*pi*k/N).

They appear in my opening post as how they come from a D.F.T..

The Goertzel algorithm can be taught as a second-order I.I.R. filter, except that one output result is generated after N input samples.

F.F.T.s being based on decomposing D.F.T.s of a sequence of length N into smaller successive D.F.T.s, it is true that Goertzel in 1958 got a computation of 2*(N+2) real multiplications and 4*(N+1) real addition, before and faster than Cooley and Tukey in 1965 with F.F.T.s computations of N log N computing all the values of the D.F.T..-.

Now learn Goertzel (Germany), standard of the D.T.M.F. Detection in U.S.:

there is no more excuse to be illiterate after I showed you the way, in spite of your claim to be a U.S. specialist of F.F.T.s.

Goertzal like you write doesn't exist, so I repeat for your very slow learning that it is Goertzel.
 
Ion said:

I think that you have to eat your politically correct words of "...bigot...", "...misleading...", "...oozes...", don't play being an authority and learn Goertzel, jj.

Excuse me, are you accusing me of faking being an authority here?

You have already been shown a liar when you claimed that you could not establish my credentials. It's been available to you from the start, and you appear to have failed, even now, to check what's trivially available to you.

Now, you attempt to futher your anti-american bigotry by smearing me, rather than admitting that this american from a second-class background, the FAT american from a second-class, appalachan background, is entirely superior to you both in terms of the history in this context and of fairness in presenting that history.

Until you admit that, I will make sure that everyone here realizes the utterly bigoted, lying nature of your ignorant, provincial attitude.


That algorithm that I submitted is the Goertzel in D.T.M.F. Detection.

No duh, and that's all it is. You implied in your attempt to sieze credit from Cooley and Tukey (and some others) that it was a full FFT and we both (and so do some others here) know that's just not the case. (NB,I knew that at the beginning, but I was curious to see if Mr. Ion here would admit to his deception. It appears that he's still trying to cover it up instead.)

You were grilled about this. You didn't, haven't and STILL won't admit your original statement was biased beyond reason and constituted a theft of academic credit.

DTMF detection, as we both know, is a widdle teeny tiny part of the art and practice of signal processing. Yeah, it's useful, but the fact that Goertzal is useful there is just that, no more and no less. It does not and can not make Goertzel a full, efficient FFT.

For an N-point D.F.T., N*N complex coefficients are needed.

Stop obfuscating. We're talking about an FFT, not a DFT. We're not talking about a full convolution, NOBODY does that, we're talking about an FFT.

How many coefficients does an FFT require. Fess up, child, fess up.
They appear in my opening post as how they come from a D.F.T..

DOH. You keep repeating this meaningless fact as though it has some relevance on the issue. There are about as many ways to implement ONE LINE Of an a FFT as there are people doing it. On the other hand, Goertzel is quite the good way to do ONE LINE FROM AN FFT. Nobody is arguing that irrelevant, simple fact.

I'm surprised you haven't brought up the 2D retrace method, too. Oh well, I won't do your homework for you.

What I am pointing out is that your claim that it was faster than an FFT, in an unqualified statement, was simply wrong. It was wrong, it is wrong, and it will continue to be wrong.

Now that you've noticed that an FFT for an entire transform is a whole lot simpler, you are trying to slip by a DFT instead of an FFT. Your weaving, wobbling, and evasions are just pathetically obvious, and your malicious intent in not capitulating entirely to my entirely correct and incotrovertable analysis of your nonsensical claims is looking to be willful.

The Goertzel algorithm can be taught as a second-order I.I.R. filter, except that one output result is generated after N input samples.

Irrelevant. One output, many outputs, etc, it's an IIR implimentation, with all of the headaches, problems, and advantages thereof. The fact you sample it once evern 'N' samples doesn't matter, you have to RUN the whole thing, not just one sample, in order to GET that last sample. Such are IIR's.

That's why FIR's are so much more useful for SOME applications, like for instance decimation/interpolation (but not in all circumstances, of course).


F.F.T.s being based on decomposing D.F.T.s of a sequence of length N into smaller successive D.F.T.s,

No, that's FFT's not DFT's. Even a second's reflection would show that. There is even a recursive method that makes that stunningly clear, although its not the fastest or cleanest method.

it is true that Goertzel in 1958 got a computation of 2*(N+2) real multiplications and 4*(N+1) real addition, before and faster than Cooley and Tukey in 1965 with F.F.T.s computations of N log N computing all the values of the D.F.T..

IT IS FASTER FOR ONE LINE.

Now you shall capitulate fully, and agree that the FACT is that Goertzel is less efficient when you need the whole transform. That's how it is, was, and will be. Goertzel runs as proportional to N*M where N is the number of samples, and M the number of lines.

For the reader, here is a good web reference, showing in nice, simple print the outright lies that Ion is trying to pass off here.

http://ptolemy.eecs.berkeley.edu/papers/96/dtmf_ict/www/node3.html



Now learn Goertzel (Germany), standard of the D.T.M.F. Detection in U.S.:

We've agreed that it is reasonable to use for DTMF. What's your problem. Your telling ME to learn an IIR filter is chutzpah of the highest order, as well as implicit libel, sir.

there is no more excuse to be illiterate after I showed you the way, in spite of your claim to be a U.S. specialist of F.F.T.s.

I advise you to retract that.

Goertzal like you write doesn't exist, so I repeat for your very slow learning that it is Goertzel.


Your grasping at spelling flames (especially to me) is merely offensive, and demonstrates the depth of your depravity.

As the web reference above states with very pleasant clarity in its first few lines, Goertzel,using any last vowel, is not an efficient FFT, it is an efficient PARTIAL FFT, no more, no less. If you actually need an FFT instead of part of one (NB, there's nothing wrong with needing or wanting part of one, that's an application dependent thing, indeed.) you are going to lose bigtime by using Goertzel.

Now, please capitulate and admit that FIR filters haven't poles, and can't be unstable, and that Laplace has NOTHING to do with the stability of FIR filters (which do have poles) in the sampled domain, as well, and that your citation of Laplace was purely deceptive and nonsensical, and an attempt to further your bigoted agenda. Admit that it's' 'z' transforms that apply, and that the absolute value of the roots of the denominator is all that matters.

Please correct your errors promptly and completely, and apologize to your fat, born-poor, from-the-working class, Appalachan born American superior that you just blew it entirely when you tried this s**tstorm of baloney on somebody who actually has some familiarity with your subject.
 
jj said:

...
As the web reference above states with very pleasant clarity in its first few lines, Goertzel,using any last vowel, is not an efficient FFT, it is an efficient PARTIAL FFT, no more, no less. If you actually need an FFT instead of part of one (NB, there's nothing wrong with needing or wanting part of one, that's an application dependent thing, indeed.) you are going to lose bigtime by using Goertzel.
...
Goertzel doesn't compute all the values of a D.F.T. like some aplications require.

I mention Goertzel as an example of science coming from Europe, and U.S. providing the technicians fot the technology.

Goertzel was written in Germany in 1958.

It is the Dual Tone Multi Frequency Detection standard in U.S., no matter the pathetic 'publish or perish' done by American universities since 1958.

The list of what I am familiar with that I wrote in the other thread has 'publish or perish' in it.
jj said:

...
Now, please capitulate and admit that FIR filters haven't poles, and can't be unstable, and that Laplace has NOTHING to do with the stability of FIR filters (which do have poles) in the sampled domain, as well, and that your citation of Laplace was purely deceptive and nonsensical, and an attempt to further your bigoted agenda. Admit that it's' 'z' transforms that apply, and that the absolute value of the roots of the denominator is all that matters.
...
When designing F.I.R filters with interpolation points equally spaced between 0 and pi, D.F.T. can be used.

A D.F.T. algorithm like Goertzel's is functionally equivalent to an I.I.R filter.

Nothing new in this post because I wrote the same things before.

However these facts ought to stop your indignant rolling on the back, screaming and slobbering.
 
Ion said:

Goertzel doesn't compute all the values of a D.F.T. like some aplications require.

That's correct, and you asserted it was a better FFT.

But it's not an FFT, it's only part of an FFT. Your claim was entirely deceptive. There's nothing wrong with Goertzel, of course, FOR WHAT IT IS INTENDED FOR.

But when you claimed it was a faster FFT, well, you were just making a snowstorm to cover your bigoted tracks. You were just trying to justify your "ugly and stupid" position.

I mention Goertzel as an example of science coming from Europe, and U.S. providing the technicians fot the technology.

Except that THAT claim isn't justified regarding Cooley and Tukey, or some others for that matter. You chose an example that was FALSE. Goertzel isn't an FFT, it's only part of one, and that's the beginning and end of that discussion.

Goertzel was written in Germany in 1958.

You've repeated this about 99 times. Is there any doubt that we all heard you? Is there any doubt nobody disagrees?

What we DISAGREE with is that it's at all germane to an FFT. It's not. It's not an FFT, it's 1/n of an FFT. That's ALL it is. That's not bad, or good, but that's all it is. If all you need is 1/n of one, good for you, it's your baby.

It is the Dual Tone Multi Frequency Detection standard in U.S., no matter the pathetic 'publish or perish' done by American universities since 1958.

The fact that it's what your company uses for DTMF detection in no way supports your assertions about "American universities".

Now, admit it, Cooley and Tukey is a much more general, complete, and much more efficient algorithm for calculating a full DFT.

That's not "pathetic", it's groundbreaking. Admit it, Cooley and Tukey did something different, more general, and more important for the whole field that Goertzel.

Goertzel is undoubted a precursor, AND it's useful when you only need a FEW LINES of a full transform. It is not, however, what you implied, it is NOT AN FFT. Your comparing it to an N log N fft was complete, absolutely total misinformation. It was conciously spreading false information in your chosen field.

The list of what I am familiar with that I wrote in the other thread has 'publish or perish' in it.

When designing F.I.R filters with interpolation points equally spaced between 0 and pi, D.F.T. can be used.

"can be". A bicycle CAN BE USED to move 10 tons of gravel up a hill. SO WHAT?

And, of course, unless the DFT is 4 points long, nobody uses a DFT, everyone uses an FFT, and WE ALL KNOW THAT, including you. Stop trying to blow smoke by equating DFT and FFT after the fact.

A D.F.T. algorithm like Goertzel's is functionally equivalent to an I.I.R filter.

You mean a PARTIAL DFT algorithm. But yes, yes, what's the point? There isn't one, I think, since what you say is true, irrelevant, and without any importance to your claims regarding FFT's.

Nothing new in this post because I wrote the same things before.

You have repeatedly cited the same old, 1958 facts. You have yet to admit fully and abjectly that your comparison of Goertzel to the FFT was entirely, fully, and completely illicit, and that your insistance by implication that Cooley and Tukey were in a "publish or perish" situation is inaccurate, false, and an attempt to engage in revisionist history.

However these facts ought to stop your indignant rolling on the back, screaming and slobbering.

It is time for you to admit that you were WRONG to equate the FFT to Goertzel.

It is time for you to admit that you were WRONG to say "unstable FIR filter".

It is time that you admit that an FIR filter, as defined in the art, has no poles.

It is time for you to admit that Laplace has nothing whatsoever to do with the stability of a 'z' transform domain transfer function.

And, finally, it is time for you to apologize profusely and retract your repeated accusations of ignorance on my part.

Please do so immediately, and abjectly.
 
Looks like jj took out the Eurotrash.

It's ironic that in lon's attempt to establish his bigoted stereotyped view of Americans, he reinforced the French stereotype of being arrogant contemptuous pricks. :p
 
WildCat said:
Looks like jj took out the Eurotrash.

It's ironic that in lon's attempt to establish his bigoted stereotyped view of Americans, he reinforced the French stereotype of being arrogant contemptuous pricks. :p

He's also established that his French diploma is not worth the paper it's printed on. But we knew that already.
 
T'ai Chi said:

You entirely avoided the question, so I'll ask again, what is your opinon on the letter/name counts being independent?

In what context? What language? Hebrew? English? Written Chinese?

Sorry, if you don't know which thread I'm referring to, but are interested, PM me. I don't want to derail your debate in this thread.
I don't know which thread you're referring to, but all this letter frequency stuff is absurd, if anything it's astonishing they don't find every word they look for in "The Master and Margarita", even using Russian letters and English words. (note, that requires some interpretation of letters, of course ;) )

Maybe we ought to try. Bulgakov as inspired. :)
 
jj said:


It is time for you to admit that you were WRONG to equate the FFT to Goertzel.

It is time for you to admit that you were WRONG to say "unstable FIR filter".

It is time that you admit that an FIR filter, as defined in the art, has no poles.

It is time for you to admit that Laplace has nothing whatsoever to do with the stability of a 'z' transform domain transfer function.

And, finally, it is time for you to apologize profusely and retract your repeated accusations of ignorance on my part.

Please do so immediately, and abjectly.
You know what?

1.) It is time to admit that Cooley and Tukey in 1965 didn't affect Goertzel in 1958.

So, your:
jj said:


Err, you want to reconsider that a bit? Didn't you leave out a few people there, oh, say, like Cooley and Tukey?
...
Your position is unsupportable.
with a make believe offended tone, is phoney science-wise.

2.) It is time to admit you had not a clue about Goertzel being the D.T.M.F. Detection standard in U.S., since you spelled 'Goertzal' even after I taught you repeatedly, and you struggled to understand it in this thread.

3.) It is time to admit that F.F.T. algorithms are based on the principle of decomposing the computation of the D.F.T. of a sequence of length N into successively smaller D.F.T.s.

Ask for help, not from affirmative action BTox or from Taliban WildCat from Chicago, but professional help.

D.T.M.F. Detection being done in U.S. with European science is a fact.

Good luck in 1.), 2.) and 3.).
 

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