Analogue computation (c)RS

Analogue computation (c)RS

Analogue Computation is a matter of sinewave transformation into digital form for saving & code creation..

Transferring the digital data into sinewave, Uses the machines in this doc segment,..

The signal to digital conversion for reading & Digital to analogue sinewave for code execution..

The pattern transfer between sinewave & digital is for reading, Direct sinewave to sinewave maths ..

Require delicate command of both voltage & current, Light processing that is non digital requires directly compatible analogic variable transistors & diodes..

(c)RS

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Analogue Waveform replication involves planning with transistors..

As my previous statement was about Quartz PLL & PSU PPS producing measurable analogue wave patterns, Sinewaves & the issue of producing & replicating them is a core issue, ..

Slow calculations of FFT are far too slow to use all over a CPU, So..

1:

An 8 or 16 or 32 series of overflow adders may be able to measure the total value of the waveform fluctuation,..

This method involves capacitors charging a line of adder dots, With each one having an overflow for a low voltage / current value..

Each adder would light up & the total value can be read as a digital value or as a total charge..

The fluctuations would be low latency & dynamic..

2:

Variable transistors, Variable transistors could replicate the total value fast into digital values or Analogue & Digital patterns..

3:

Movable magnet, When the charge fluctuates the needle moves, A small version on a single circuit would fluctuate over time ..

Transferring the value to a single pin or a resister pad..

4:

A needle between 2 electro magnets, One + & One -, The needle would move on fluctuation of the wave pattern..

Highlighting exact value..

5:

Dynamic resistance across a pad, That would drain out at the exact correct value, This would be dynamic & reasonably fast..

All methods work also by inversion, Where they deliver a wave pattern / Sinewave.. From a source.

(c)RS

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The phasic PPS waveform

A standard PSU PPS is effectively:

𝑠(𝑡)=𝐴sin(2𝜋𝑓𝑡)

with 𝑓=50/60Hz..

The proposal tiered phasic PPS becomes:

𝑠(𝑡)=𝐴sin⁡(2𝜋𝑓𝑡+𝜙(𝑡))

Where φ(t) is a controlled phase‑modulation envelope:

Tier‑1: ±0.1–0.5°

Tier‑2: ±1–3°

Tier‑3: ±5–12°

This creates a multi‑resolution temporal surface that can be sampled at N points.

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Why this matters

A single PPS edge gives one time index per cycle.

A phasic PPS gives N time indices per cycle, where:

𝑁=2,4,8,16,32

Each index is a stable analogue curvature point, not a digital clock tick.

This is the analogue equivalent of sub‑cycle temporal supersampling.

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Multi‑point sampling: the real upgrade:

For measuring the curve at multiple points is right direction.

Digital sampling:

If sampled at 4–32 points:

4‑point sampling → 240 Hz effective temporal resolution

8‑point sampling → 480 Hz

16‑point sampling → 960 Hz

32‑point sampling → 1.92 kHz

This is not “frequency multiplication” but temporal interpolation density..

Improving the PTP + NTP + PPS Resolution & computation skillset of the unit..

Analogue sampling:

Analogue curvature measurement gives continuous resolution:

16‑bit float → ~65k curvature levels

32‑bit float → ~4.2B curvature levels

64‑bit float → ~1.8×10¹⁹ curvature levels

This is why your FFT‑based curvature measurement becomes extremely powerful.

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Hardware primitives for analogue computation:

Five analogue‑measurement methods can be formalised into a Unified Analogue Temporal Extractor (UATE):

UATE‑1: Capacitive overflow ladder:

Capacitor ladder

8–32 capacitors, Could be more if we need them..

Each represents a curvature threshold

Overflow → digital bit

Total charge → analogue value

Latency: 20–80 ns

Perfect for PSU PPS curvature extraction

UATE‑2: Variable transistor array:

Variable transistor array

MOSFETs biased to curvature thresholds

Instantaneous analogue → digital mapping

Latency: 5–20 ns

Ideal for high‑speed PPS phasic sampling

UATE‑3: Micro‑magnetic needle:

Magnetic needle sensor

Analogue deflection

High stability

Low latency (50–200 ns)

Good for analogue replication

UATE‑4: Dual‑magnet needle:

Dual magnet analogue meter

Positive/negative curvature mapping

Direct sinewave reproduction

Latency: 80–150 ns

UATE‑5: Dynamic resistance pad:

Dynamic resistance pad

Resistance varies with waveform curvature

Can output analogue or digital

Latency: 10–40 ns

Excellent for PPS → DAC conversion

All five methods can also invert to generate analogue waveforms..

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Analogue ↔ digital reciprocity:

Analogue computation, essentially a bi‑directional ADC/DAC temporal engine.

ADC side:

Convert PSU PPS curvature → digital temporal index

Used for:

Quartz PLL enhancement

CPU/GPU/NPU clock smoothing

Display FRC/dithering

ML temporal interpolation

FFT‑based timing analysis

DAC side:

Convert digital timing → analogue sinewave

Used for:

Analogue co‑processors

RF modulation

Display backlight modulation

Audio timing

Precision motor control

This is the foundation of analogue temporal computing.

(c)Rupert Summerskill

*****

The DAC as you may be aware is a Digital To Analog converter & Also normally Analog to Digital also, The ADC, Most of them use FFT & Computation so conversion is logically both ways.. RS

The PSU PPS Intrinsic thought pattern resolves that, 60Hz Square Wave is not quite enough, Sinewave patterns have more detail on reading with FFT!

In order to talk about DAC & ADC & DSC & Colour space LUT ICC, In terms of Sinewave, We may wish to know, Why we would use it?!

Sinewave is a curve & not cubic like a Square Wave 10Mhz PPS, Square wave is easier to read at high throughputs like 10Mhz & 100Mhz,

Most CPU as best as possible use a jagged Square wave, simply for speed..

Sinewave is 2 things, More detailed, Avoids the Electromagnetic interference that Square waves have,..

Square waves do not pick up Magnetic fields so easily & The EMI that they experience can mostly be ignored by measuring in maths, Up or down..

Sinewaves are detailed, As stated, With intended full wave pattern measurements, In FP16 or FP32 for smaller transistor count & Even smaller 4Bit & 8Bit..

4Bit DAC & ADC can measure results with 4 Levels, Precision of 4 bits is like 11 Variations on pattern with 1 & 0, So not aiming that at 16Bit chunks is relevant to our thoughts.. on DAC,

4Bit offers us 11 Values? So 8Bit is quite reasonable for signal transmission then? Maybe!

16Bit & 32Bit Digital or Analog transmission on curcuits is quite reasonable.. For performance..

64Bit is where we are today on X64 & Power 9+ & Server CPU's & GPU's..

Smoothed output DAC's can convert lower resolution Digital data to Higher detail Interpolated analog.. With a smoothing rectifier, A Combined Capacitor Resistor circuite, Side by side..

ADC can with a rectifier Capacitor Resister Parallel pairing, Before conversion to digital results..

Interpolate the resulting data.. When measured at higher precision, Such as FP32 & FP64,

DSC the codec for screens uses LUT Table conversion to compress data, & Also Frame to Frame Data compression, By identifying identical data to XOR..

We may use the DAC & ADC High Resolution Conversion .. To resolve fidelity for the DSC Codec & LUT,

Spectrum Band Emitions along the ARC, TAN, SIN Bands, Is FFT & hence our method of resolving these LUT Colours & DSC Colour conversions..

Conversion can happen in Analog aswell as digitally.. In FFT, Indeed it can be a lot faster for us to compare results..

Example technology that uses analog & digital, PAL & NTSC UHF signal on Channels for TV's..

the DAC & ADC are traditional modern technology, But advances in technology are progressing over time..

DTS & Dolby are examples for FFT, DAC & ADC..

Creative G6 Audio DAC & Realtech 32Bit Audio DAC's are examples.. of good technology.

(c) Rupert Summerskill

*****

Example 8Bit DAC + 10Bit ADC:

https://www.microchip.com/en-us/product/attiny1616

As disclosed here, The Waveform of the Time clock can be ECC Elliptic Curve, So this deserves merit..

https://www.microchip.com/en-us/product/atecc608b

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https://science.n-helix.com/2026/08/firmware.html

https://science.n-helix.com/2022/01/ntp.html

https://science.n-helix.com/2023/06/ptp.html

https://science.n-helix.com/2022/10/ml.html

https://science.n-helix.com/2021/03/brain-bit-precision-int32-fp32-int16.html

The CBE Light source & comparatives to Nuclear explosions by RS

The CBE Light source & comparatives to Nuclear explosions by RS

The inward facing light of the CBE may be lower energy than external,

From our point of view..

Internal light emissions are from the lower energy the laser atoms

emit after the initial laser burst..

Initially the combination of facts of:

The laser where light is linear & emitted in the same direction,

Honestly we do know that light in a maser is facing most directions,

Indeed we have to use a mirror set to effectively make a laser of it!

Solid lasers may point to general directions of light on emission..

So honestly the factors of the laser are intrinsic to CBE data,

Generally the theory that ..

Hard light would generally face outward from a CBE, I thought of it

being outward to explain the generally lower spectrum CBE Microwave

data..

The tenant being that we are internally, inside the CBE, In the sense

that, Microwave light is lower spectrum than what we know a nuclear

explosion to be..

I postulated on light waveforms being longer wavelength for CBE & other active light emission evens such as laser.. 

Because internally the density is higher than external events..

As we know light passes through transparent matter like glass & that in our examination of theory the light is vibrating faster in denser matter,

Internal CBE light is naturally passing through denser matter & vibrating faster..

...

In a star the internal energy profile is a hot body, The reception of light on a hot body, Is generally lower than a cold body such as general space & black-holes..

Although internally black-holes may be dark or light & the fact that they fall into gravity may explain it,..

Generally large body black-holes fall deeper into the gravity dimension..

Gravity is essentially a representation of a large circle of Pi (external) & an internal Pi (internal),

Gravity is 360 degrees, Indeed 3D Geometric Pi & 360 * 360 & also by maths .. diameter & radius..

Blackholes are generally smaller than lower density matter, Such as a star, That reasons into the Pi Large, Pi Small with External universe & internal small..

We may however assume that internal density is higher & that there is another reason for that!

But the waveform of light & matter at higher density, Is considered the fundamental reasoning ..

As shown on my science research blog, The density of matter in a black-hole is probably higher & the light & matter is therefore at a largely higher density waveform and conversely, a higher energy status..

We may assume that, there is a reason that light of a higher status is inside a black-hole & not leaking to external dimensions..

Largely a black-hole is a trap, One that is about gravity overcoming waveforms of light & energetic matter..

We may assume CBE data proves the internal / external postulate in a proof of external or internal .. Way,

We may assume that the proofs of stars & lasers, May prove that..

The factors:

The external & internal density,..

The energy profile internally & externally..

Whether we are on a thermodynamically external or internal universe..

It may prove that we are expanding or shrinking..

It may prove that the matter that composes the hidden side of the universe, ..

Ultra Dense Brand Layers in the matter composing of the glue that binds the universe together..

Is Dense or light!

& other facts & factors of our life.

(c) Rupert Summerskill https://science.n-helix.com

*****

https://science.n-helix.com/2026/08/power.html

https://science.n-helix.com/2026/08/firmware.html

https://science.n-helix.com/2022/01/ntp.html

https://science.n-helix.com/2023/06/ptp.html