Matinga Noise Floor Quantified

Matinga’s Quantum Dependency - Noise Floor Function

All events and systems in physics and in any form of communication must contain some a priori - earlier information shared between communicating portions of the system. This means any detection (absorbing/reading) of any signal or energy transfer is only possible if the fundamental, unscaled or unamplified energy element is in both emitting/writing portions.

This means the quantum randomness must be re-designated the term quantum pseudo randomness or pseudo-noise. It must be a complex set of relations or active identities in the form of individual, discrete oscillations or standing waves which add up to a noisy standing wave with an extended period - yet a fixed period regardless. This indicates there is almost certainly quantum structure, rather than random 'noise' - or lack of information.

If you plot two sine waves, summed in Desmos.com, Graphing Calculator, you find that the irregular wave has a resting shape or pattern. Use waves which are only harmonics of each other and you will witness it sooner with less 'squinting' and uncertainty.

They add up to one singular function regardless. By definition, any function describing matter, and capable of being reduced to one mathematical function is an example of the Bose-Einstein condensate. It is the exclusive, Matinga Quantum Dependency.

The greatest number of discrete wavelengths which I have researched in articles on the worldwide web has been 4 294 967 296. This number is also consistent with 32 bit or 2^32. The number of wavelengths , less 1, is consistent with the Maximum number of wavelengths in analogue electronics. Microsoft’s noise floor range is 4294967295 to accommodate 0, with even numbers either end of the negative and positive scales.

An algorithm is shown below to synthesise the current understanding of quantum noise floor:

Matinga Quantum Noise Floor Database

= ( ( Sin ( Pi rad * ω * t [ 1 ] )

+ Sin ( Pi rad * ω * t [ 2 ] )

+ Sin ( Pi rad * ω * t [ 3 ] )

+ ...

+ Sin ( Pi rad * ω * t [ n ] ) )

Borrowing from the posted article, Incrementation Algorithm - 2025, in One Brief Line, a * i is incrementation.

Matinga Noise Floor Algorithm

m = 1

n = 2 ^ 32 - 1

t = i

A = ∑ i: i =< m, i => n Sin ( i * ω * t )

As a function, noise floor can be described as

∑ i = x ,

f (x) = Sin ( 2 * Pi * x )

The algorithm will produce a series of discrete waves numbering between 1 and 2 ^ 32 - 1 and merged or entangled as one superpositioned wave of up to 2 ^ 32 - 1 amplification.

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