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

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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

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

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