Octave and Scalar Harmonics Table
Scalar Table for use with vBackfreq or vPulse
Date: 1/14/2010 3:53:06 PM ( 14 y ) ... viewed 11152 times
Jump to: How to bring frqs into range
Jump to: On finer Resolutions..
Multiplier to up or down [SCALAR] octaves.
Note: Anything over 8 decimals causes corruption without error
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Octave
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Scalar
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13
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8,200.20398156
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442,413.39526929
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12
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4,099.78630723
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162,754.79252616
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11
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2,049.73532400
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59,874.14208856
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10
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1,024.78875326
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22,026.46591967
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9
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512.35492530
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8,103.08396892
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8
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256.15773851
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2,980.95800056
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7
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128.06900794
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1,096.63316278
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6
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64.02957369
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403.42879486
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5
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32.01232190
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148.41315952
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4
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16.00492857
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54.59815016
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3
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8.00184814
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20.08553696
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2
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4.00061602
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7.38905611
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1
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2.00015400
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2.71828183
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-1
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0.49996150
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0.36787944
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-2
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0.24996150
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0.13533528
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-3
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0.12497113
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0.04978707
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-4
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0.06248075
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0.01831564
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-5
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0.03123797
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0.00673795
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-6
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0.01561778
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0.00247875
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-7
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0.00780829
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0.00091188
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-8
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0.00390384
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0.00033546
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-9
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0.00195177
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0.00012341
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-10
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0.00097581
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0.00004540
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-11
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0.00048787
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0.00001670
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-12
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0.00024392
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0.00000614
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-13
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0.00012195
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0.00000226
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more:
Wave: Phase velocity and group velocity
The short solution is to use this Octave Scaler simply replace the RED number with the frq and choose an Octave or Scalar Harmonic from the result.
OR:
Find out your device's range for most audio range devices that is either 1khz (1,000hz) or 10khz (10,000hz).
Here is a simple formula to down octave Adenovirus frq:
888777.7777 / (range) = (octave) or
888777.7777 / 1,000 = 888.7777777
Now go to the Octave table above and find the next octave calculation above that number:
Now divide the actual frq with this number:
888777.7777 /1024.78875326 = 867.2790
That makes 867.2790 ten octaves lower from 888777.7777. It can now be used by an Audio device in that range. Depending on the device this may require a carrier wave to be added for penetration, also removing some or all of the resolution (decimal accuracy) will make it less effective. On finer Resolutions..
So imagine for a minute that you had some Schistosoma haematobium eggs that could all be killed off with 10m of 10khz, now reflect on the kill times in the table below while using finer resolutions.
10000hz = 10m
10000.3 = <9m
10000.33 = >6m
10000.333 = <4m
10000.3332 = ~1.5m
But something else happened during running the finer resolution and that is the frqs appear to penetrate further. I can only guess that this is because there being less resistance with these finer waves
RifeFrqViaDowsing
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