signals by msabino

VIEWS: 19 PAGES: 7

									Compressed cardioid signal




Pouch signal




Propeller signal
"Hot dog bun" signal




"Lips" signal
Lips2 Signal
Fanout signal




Eagle signal
An event sphere is defined as a sphere of countable wavefronts mapped to a sequence of consecutive
events. Each event is hereunto mapped to a hamel dimension. This is because the foundation of the
formulaism is intended to describe in part, the creation of dimensions over a non-zero time.

{past,present,future} -> {D=1,D=2,D=3}

--------Mapping definition A----------

Combining two event spheres gives a 3rd event sphere representing two different times seperated in
space.

f*g = h

one event sphere is mapped to the other

f->g

The 2nd event sphere is mapped to the first

g->f

Deconvergence of spatial geometry of the event sphere. This is understood in terms of signal
decomposition applied to the geometry of the event sphere.

$(f*g) (remote viewing spatial skeletonization/destruction)

First event sphere is inverse of the 2nd event sphere, which is located external to the device of
measurement.
-f = +g

2nd event sphere is inverse of the first event sphere, which is located internal to the device of
measurement

-g = +f

Appendix A. Raster Scanning decomposition

For a TV line scan, the produced 2D image is formed from a single signal, like so

00000000000010000011111110000000000000100000000000010000000001101



To...

0000000000001

0000011111110

0000000000001

0000000000001

0000000001101

Where the ends of a signal-defined boundary define the bounds of consecutive lines of vertical
resolution. For digital signals, this is just the nth bit boundary of a clock signal.



Theorem A posits that...

The only oscillatory way of decomposing the original mapping geometry by the "Mapping Definition A"
is in raster scan form.

Thus, we arrive at "Lips2."

For 300 million years seperation between the event spheres, the following polar plot emerges.

This is parametrized by (0.7*((2/pi)*asin(sin(pi*sin(t)))-(2/pi)*asin(sin(pi*sin(t-9.46708*10**15)))))
This signal is in essence how we have to seek (in analogy with a tape recorder) in order to retrieve
signals from the distant past. This signal is likely unique for every time seperation, due to the
multiplication of small effects over time.




Next, we apply the $ operator to the composition of the event spheres for two different times, $(f*g),
which subtracts out a spatial component of the signals. In this case, the mapping between event spheres
is preserved, but only in degenerate non-spatial form. We do this like so,

f*g ~= 0.7*((2/pi)*asin(sin(pi*sin(t)))+(2/pi)*asin(sin(0.4*pi*sin(t))))

$(f*g) = f*g - (2/pi)*asin(sin(pi*t))

This is the "Fanout signal". Since it is deconverged, it may be useful at some future date for
deconverging event spheres between an observer and an external object for remote temporal viewing.

								
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