From: Ronald C. Blue (ron_at_u2ai.us)
Date: Mon Jun 23 2008 - 21:21:51 PDT
I posted this idea years ago. My friend liked it so I am forward it.
Ron Blue
> That's actually pretty brilliant. Have you sent this to SETI?
> I would like to try something like this in hardware. I would think you
> can detect quantum signals using the same process. I'm busy with lil
> blue right now, trying to finish it up, but this would be a good
> experiment to possibly detect visual patterns in the optics that maybe
> we wouldn't detect but the machine would find useful. We need to keep
> this in mind.........
> Thanks!
>
>
> Ronald C. Blue wrote:
>>
>>>
>> To: <cvnet_at_mail.ewind.com>
>> Sent: Monday, June 23, 2008 10:25 PM
>> Subject: Re: CVNet - For SDT buffs
>>
>>
>>> I suspect the nervous system is better than our models.
>>>
>>> SETI is interested in detecting a real signal in overwhelming noise.
>>> This would also be true for the brain.
>>>
>>> I suggested the following approach may work for SETI and is common
>>> practice for the brain.
>>>
>>> Three radio telescopes are focus on a star. One telescope slightly
>>> to the left, one on the star, and one slightly to the right,
>>> A group sample of 30 data points over a specific time internal or
>>> consolidation cycle. The average and standard deviation is
>>> calculated for each cycle. The average differnce of the two controls
>>> would be used to filter any real data from the central telescope.
>>> They would function as wavelet filters for signal recognition. The
>>> consolidation cycle frequencty for the brain would be 100 hertz for
>>> vision.
>>>
>>> A signal data point is created only when there is a statistically
>>> significant difference between the central telescope and one of the
>>> other telescopes. The false readings would averge out so that a real
>>> frequency signal if present would emerge. Noise is actually
>>> required to detect a weak signal.
>>>
>>> About 20 years ago I wrote a program to test the idea. A signal ...
>>> sine wave was placed in as a seeded value in random noise - the
>>> central telescope. The random noise from two other units were used
>>> as a wavelet filter. The program ploted the difference and a sine
>>> wave was visible even though it was hidden in noise.
>>>
>>> A chart would be like this:
>>> 30 random number - 30 random number plus or minus seed value from
>>> a sine wave - 30 random numbers
>>> Mean and standard deviation of each sample calculated was compared
>>> for statistical significance.
>>>
>>>
>>> Ron Blue
>>>
>>
>>
>
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