Andres Ramos

Very well made, Ron! Most remarkably in your last picture there are clearly eyes to see! I am always amazed from this phenomenon because in my experiments I observed that eyes are often the first occurence of an upcoming face. They seem to form with ease. Maybe they are providing a lot of shaping energy.

I agree that spirits need some kind of structure to manifest in water. Light or textures seem to help them.

I observed the same with natural spirit images. I took magnified photos from the surface of a lake that was agitated by wind. With just the water I gained no results however when I photographed the reflection of twigs from trees in the water I got lots of images. Seems that water is a good medium but it has no structure. You have to imprint something into it.

Surprisingly it's different with vapor. Boiling water brings good results without additional structures.

I wrote an app called "ITC-Spiral Viewer" that soon will be published in the sw section. It generated random images with fractal like fragments. Sometimes parts of faces appear, mostly eyes, in a very faint shape. I admit they sometimes are hard at the border to pareidolia.

Part of a dog's face

A very faint human face(front side)

29 minutes ago, L. Garrigue said:

Nice to see this Andrés I'll do the whole textfile implementation, but as for the pictures, it's a way to standardize the output so that this ensures there is no easy cheating. And like you did people can then share the output pics here, to present what they received

Ah ok. I haven't had this in mind.

In the stream i got "Pepe", the nickname of my deceased father.

Works very cool! I let it generate letters and the word "File" appeared and immediately was spelled out. Great!

The text export doesn't crash just the picture dimensions are a bit unusual. Would it be possible to export the text as a textfile?

Great Louis! Will check it out now...

1. Abstract

This article is referring to my previous paper "12 - Time Domain Noise level Discrimination - an approach to enhance ITC voice modulation". In this paper I hypothesized that the bad voice quality was related to the spectrum of germanium generated noise and could be improved by using white noise.

I wanted to prove this hypothesis and I revised my electronic circuits to employ white noise from a Zener diode to compare the spectral composition and the voice quality against my results with germanium noise.

2. Electronic schematic

You see that compared to my previous circuit not that much has changed. The only difference is the noise generator. I now took advantage of the noise generated by a 3.3V Zener diode that is emitting very clean white noise. Since the noise amplitude is smaller than the one generated by a germanium diode I needed to implement another 20dB amplifier stage. I also found out that an adjustment for the output bias of the last noise amplifier stage is useful to make the signal more symmetrically. The rest of the circuit stayed unchanged.

3. Test results with white noise level discrimination

There were no noticeable changes in the time domain signal of the noise. However it was noticeable that the post processed voices sound more rich and not quite as croaky. The modulation was much better compared to the results of the previous setup with germanium noise. This is no wonder because the modulation enhancements rely on the signal discrimination and not the noise itself.

Time domain representation of post processed voice signal

The next step was to compare the spectral compositions between the previous setup with germanium noise and the new setup with white noise.

Spectrum of post processed voice signal with germanium noise

Spectrum of post processed signal with white noise

It is obvious that the signal based on white noise has a quite richer spectral composition than the one with germanium noise. A second reason for the higher bandwidth of the latter lies in the fact that less post processing was needed with white noise, i.e. denoising and filtering. All I did was apply Paulstretch with a stretch factor of 1.6 and 0.1s resolution, followed by 23dB and 7dB denoising.

To make the differences between the old design with germanium noise source and the new design based on white noise better comparable I have put a 10s audio sequence of each signal into one mp3-file. The first 10s are with germanium noise and the second with white noise. Both are separated by a 2s pause.

Comparison of sounds

You can find some additional audio exports here.

In a final evaluation the conclusion can be drawn that white noise really does improve the signal quality in noise level discriminated signals. This is not only mirrored by the spectral composition but also by listening to the exported audios. Thus this experiment is valued as successful.

AH ok, you tested my concentration and awareness by implementing a dedicated error  Gladly I passed the test.

I also had some thoughts on imaging with spirits. A year ago I wrote an app I also want to post here. It runs as a HTML5/JS application in a browser. It takes random data and some transformation algorithm to manipulate a one-dimensional array of integer numbers. After the transformation process the array is rendered in a 2d-canvas. This is done in a spiral, starting in the middle of the canvas and outwinding clockwise to the rims. I chose the spiral because it is a symbol of any kind of evolving processes in the spiritual world and the content of the array can be rendered without interruptions, what you always have if you put a picture in a canvas line by line. If you change the ratio of the canvas than the whole image content is mixed up. A spiral rendered image does not change it's appearance if you change the canvas. My idea is that an audio stream could be fed into that array and fill it with spirit influenced data. If the spirit could learn to influence this stream in the right way they could cause an image showing up. Somehow it's a conversion from audio to image. The WebAudio kit in JS opens up this possibility now since it provides access to the systems audio sources. This is an ongoing project.

Thanks for the information around your church. Will look at your information. I gained the impression that the belief system of your church has been evolved empirically. I like this very much since religion often appears as an abstract model of what is really going on in the hereafter.

5 hours ago, Arizona EVP said:

Anybody got a Gravity Oscillator I can borrow 

If you're ready to get your Mathlete on, Here is Electronics Engineer Theodore Rudolph's theory from the 1970's on how EVP Voices are formed.

Back in the day, Mr. Rudolph worked with Konstantin Raudive and invented the Goniometer for Dr. Raudive.

 

Here's the link:

https://app.box.com/s/dd6hzzg40u1jxzdpop28ksx5282evlq6

 

Happy Number Crunching ~ Ron

Thank you Ron!

I  amazed by your explanations Fernando, despite i needed zo read kt several times to fully understand. One remaining question is if you have one human receiver who gets all bits or one human receiver for every spirit 'transmitter'. On your setup explanations this was not clear to me. In the last part of what you said I think you are intending to use one receiver for every transmitter.

As far as i understood the receiver puts his decisions into an app he uses. I think this app also tells him start and stop time for his bit. The control app gathers all those bits from different receivers and melts them into bytes, right?

Your description of the 2D canvas were very intriguing! Do you see a way zo make a device where the spirits can set the pixels directly without one human receiver for every pixel?

Moreover I would like to get to know more about your church. The experiences you talked about seem to be to vivid zo be wrong.

Maybe this weekend i can try to rebuild the germanium diode array for further tests.

47 minutes ago, Fernando Luis Cacciola Carballal said:

Perfect! I've downloaded the files already. Good job!

Thanks again! Can't wait for your results!

14 hours ago, Fernando Luis Cacciola Carballal said:

Hi @Andres Ramos

I've finished catching up and setting up a development environment to work on the software for these experiments (using the Essential audio-analysis C++ library), but it just occurred to me that the best way to go is to create a "simulator" app to easily generate test files to feed into the analyzer app. The simulator app would take a raw noise sample and add the modulation to it, trying to simulate what the spirit world does.
I've been reading your paper (which is VERY good, BTW), and it seems to me that, for this particular scheme (a binary amplitude-shift modulation, or ASK as it is called), the "spirit impulses/burst" method would be the best suited. What I would need then is a sample recording of the type of noise you used for it, for example, with the diode array. Do you have that in your shared drive? or can you add some? I would the the raw clean noise without any spirit imprint on them.
TIA

 

Thanks for the compliments Fernando! Then it was worth the effort. I exported some spirit impulse sequences as mp3 here:Spirit Impulses

This is a directory with all my samples made with different flavors of the Ge.Diode Array. Look for the samples named as "Impulse-x". Keep me updated!

I see. Thus every the time of every single bit "sampling" is negotiated previously with the spirits? 

These are amazing, Louis and partially rich in detail!

4 hours ago, Theo said:

Hello everyone I am Theo Ripson was born on 11-11-1964 in the Netherlands in the town of Breda. I am busy every day with the paranormal of testing with software programs ghostbox water smoke photo graphy etc my favorite programs are spirigate and evpmaker but I also hear voices in certain music or in other types of sounds I also regularly hear whispers I am not a medium I hope for this site to find answers and exchange many experiences sorry but my english is not that good so i use a translation program greetings from Theo

Welcome Theo! Great to have you here. I'm sure you'll have a good time with us.

Well done Louis! Usability is much better now. Especially self specifying the alphabet is a great idea!!

1. Abstract

From all my experiments with noise in ITC and the investigation of spirit impulses I drew  two conclusions.

1. Spirits use only a limited part of the noise spectrum. There is a lot waste remaining, contaminating the output signal
2. Spirit impulses have a very good signal to noise ratio. The information loss of impulses compared to unclipped noise signals can be compensated by techniques like Paulstretch, an algorithm in Audacity, up to a certain degree.

From those conclusions I got the impression that removing the base floor in a noise signal that is below the spirit impulses could enhance the modulation of the resulting voice signal. This theory I will explain in the following chapter. I wanted to create a setup where I could remove some lower level parts of the noise not contributing to the modulation, and see if the resulting modulation improves.

2. Noise level discrimination

Let's take an example to clarify my thoughts. Imagine we have a noise signal with spirit voices buried in it.

Raw noise signal

You can see very clearly that you can divide this signal into three vertically stacked areas. The upper third is made of spikes with positve amplitude. The lower third is a mirror of the previous one with negative spikes. In the middle there is an area we can identify as a base noise floor. If we take into account that the crucial information is encoded in the spikes then the middle part is obsolete as it adds nothing valuable to the modulation. If we would estimate the modulation factor of the above shown signal then it could be roughly something around 30% and only a part of the 30% comes from spirits. The modulation factor is principally calculated as a ratio of amplitude maximum and minimum more or less.

Cutting out the base floor

Now let's imagine we could take a magic scissor and cut out the middle part of the signal that contains the base floor of noise.

Glue together upper and lower section

The last step is to remove the cutout and push both remaining sections together. You see that the modulation factor is now near 100% and thus also the spirit voice modulation should be enhanced.

See it as a kind of filtering process in the time domain but keep in mind that it is no real filtering but rather a discrimination of certain noise levels specified by a window.

3. Electronic schematic of noise level discriminator

Let me explain the electronic that does the discrimination. In the lower left corner you can see the usual virtual ground module I always use when I employ Op Amps. In the upper left corner is also something you should remember. It's my standard realisation of a germanium noise source that gets preamplified with IC1. On pin6 of IC1 we have a noise signal of around 3V amplitude. The following stage on the right is a window discriminator made with two comparators. With P1 you can setup a symmetrical cutout level for both comparators. Principally the combined output of the comparators generates a high signal if the current noise level is in the middle section(base floor) and a low signal if it is outside, where the spikes are. By turning P1 you can make the cutout section thicker or smaller. With P1= 0 Ohm there is no cutout, with P1 = max there is roughly 30% cutout.

The comparator output is negated by a NAND gate and controls an analog switch. It switches the audio signal through only when the noise level is outside the cutout area.

Signal with cutcout=0

The above picture shows the output signal if P1 is adjusted to 0 Ohms. As expected the signal stays unaffected.

Signal with maximum cutout

The second picture shows the signal with P1 adjusted to maximum. Now you can see clearly that the middle part of the signal is missing. The discriminator circuit thus works nicely!

3. Test results with noise level discriminator

For testing and comparison I made three recordings of 10s duration each in Audacity. The first one I post processed with the following steps in consecutive order.

First recording with post processing

I recorded the signal without any level discrimination (P1=0 Ohm)

• High pass filtering with 250 Hz corner frequency and 12 dB/octave rolloff
• Low pass filtering with 6000 Hz corner frequency and 12 dB/octave rolloff
• 3 times denoised with 11dB denoising factor
• Again high pass filtering with 250 Hz corner frequency and 12 dB/octave rolloff

Hear the audio: Recording #1

Second recording with post processing

I recorded the audio with full level discrimination(P1=max).

• Paulstretch with delay factor 1.2 and 0.1s resolution
• High pass filtering with 250 Hz corner frequency and 12 dB/octave rolloff
• Low pass filtering with 6000 Hz corner frequency and 12 dB/octave rolloff
• 2 times denoised with 11dB denoising factor plus 1 time denoising with 7 dB denoising factor
• Again high pass filtering with 250 Hz corner frequency and 12 dB/octave rolloff

Hear the audio: Recording #2

Third recording with post processing

This recording I made again with zero level discrimination to check if Paulstretch gives the same results with undiscriminated signals as with discriminated ones.

• Paulstretch with delay factor 1.2 and 0.1s resolution
• High pass filtering with 250 Hz corner frequency and 12 dB/octave rolloff
• Low pass filtering with 6000 Hz corner frequency and 12 dB/octave rolloff
• 2 times denoised with 11dB denoising factor plus 1 time denoising with 7 dB denoising factor
• Again high pass filtering with 250 Hz corner frequency and 12 dB/octave rolloff

Hear the audio : Recording #3

Now if you take a closer look at the displayed recording signals you may already find out that the signal of recording #2 looks a little sharper than the rest while recordings #1 and #3 are more blurred.

Comparing the audio files brings even more findings. If we talk about modualtion quality then recording #2 is better than the other ones in respect of how phonemes can be distinguished. That does not mean that the intelligibility of recording #2 is really better. The problem with the intelligibilty lies in the spectral structure of the resulting noise that is not at optimum for spirit voice generation. Here the old problem shows up again; the germanium diode noise, although it is very sensitive to spirit interaction doesn't give good sounding voices. These are always low, rumbling and croaky. It could be valuable to try different noise source like white noise (germanium noise is pink).

Another finding is that Paulstretch unfolds its magic really only on spiky signals. Applying Paulstretch to a continuing signal yields no improvements.

In a final evaluation it could be found that an improvement of the voice modulation could be reached and the principle was proven. Since this technique can be used with any form of noise it is up to further experiments to find noise sources with better spectral quality. Even if these contain only low modulation, it now can be enhanced by using level discrimination.

Here are some exported samples from another recording with discrimination level near maximum: Voice samples

Interview with Nicola Tesla 1942 from the Electronic Engineering Portal 2012.

Interview with Nicola Tesla

1 hour ago, Michael Lee said:

Automatic. It asks for number, you type # and press Enter. It puts the pics in the directory filled with libraries, but it's a start.

No it's ok. Easy enough to handle for me.

Now available as executable. Great! Will install it tomorrow!

Great you made it as an executable!

Are the png created automatically or on user action?

19 hours ago, Arizona EVP said:

Ghost Humor............

Ever wonder how many ghosts you hit when you drive?

 

Since they are already dead this should cause no issues.

16 hours ago, Arizona EVP said:

With regards to Water ITC.....

Be careful dropping the spaghetti into a pot of boiling water.

You might poke somebody's eye out.

That one was good!

2 hours ago, Fernando Luis Cacciola Carballal said:

Well, half way the story I was thinking that this is almost begging to be converted into a signal, but I didn't know how until I read the part about the barrier. That looks like a solid design to get a nice plot of the needle vibrations, so please do that. Once you can get a signal out of this, there are like limitless experiments to be done! I would start right off experimenting with the effect of people's energy on this.

At your command!

I got some of these fork light sensors.

Should be just perfect. I can easily hook it up to the compass.