Tuesday, October 4, 2022

Vibration Array Spectrometer : (c)RS

Vibration Array Spectrometer : (c)RS

Vibrating side to side & where necessary up and down & at angles to create a complete wavelength photo & data from events such as nuclear reactions..

The devices specific vibrational frequency can range into the thousands Hz & must slow down before vibrating back to assist delicate sensor material from cracking or fracturing during work cycles..

We can use compound to bounce absorbed energy back the other way; Such as silicone & rubber,
But they will be Soft & springy to reduce energy transfer of heat or radiation..

Must also be capable of resisting high & low temperature or environmental energies for long periods.

Super conducting surface vibration is capable of shifting a side strengthened cube at higher frequency with wave motions & sound also.

Interpolation of Spectrometer Data RS 2022

We can examine the light shift with our spectrometers & use interpolation arrays to make photos of it,

Thus we will be able to isolate the spectrometric data more precisely on our telescopes; When we use split colour wavelength spectrometry.

How do these Interpolation arrays work ?

We align the orbital position & azimuth & time with the specific wavelength in our Sapphire Crystal Grid Sensor spectrometer,

We do this with time so that we can align multiple orbit passes or vibrations of our sensor & create a sharp full spectrum image & data array!

We then can verify the exact spectrum of each star or subject; For example when using a spectrometer in CERN that vibrates at high frequency..

(c)Rupert S


Interpolation in the age of Virtual Screen Resolution/Scaling : The process of evolutions in sharpness for over qualified displays(proud makers) (c)Rupert S

LED Pixel By Pixel exact full screen display of all resolutions with automatic compatibility for all input VESA Resolutions & Zero incompatibility with Any Resolution in the correct dimensions : RS https://is.gd/LEDSource

With PoCL & FSR intrinsic

It makes perfect sense that scaling frames is done though PoCL & FSR, Indeed both are required for CPU function!

Streaming services frame video & scale it & so do games, the scaling of inset video is a logical vector of FSR Scaling & colour correct display... HDR, SD, Rec709, Rec2020

Pure Tone Encoding/Decoding Codec

Applies to Displays & Camera/Recording Equipment; Codec: Decode & Encode,
Colours of composing display or recording elements; Red, Green, Blue, Grayscale Channel,
Pure tone Encoding & Decoding.


FRC is clever Dither : https://is.gd/BTSource https://is.gd/LEDSource

The main thing about Rec709 10Bit is that all 10Bit is in LED Standard spectrum, All 1.07B colours; Add FRC this is important!

Rec2020 is flexible upto 12/14Bit So 8Bit+2/4/6/8Bit FRC makes sense! & so does 10Bit + FRC

FRC Modes:

6Bit+FRC (for car & mobile tablet)





4 primary colour composure: RS

What does decomposing a frame into 4 colour groups mean?

Red, Green, Blue, Grayscale

Each pixel on a screen has 4 colour components & they are on a different place on the screen,
So when we sharpen; We sharpen to the closest pixel LED of the right colour,

Obtaining the best colour with the most logical of LED content,
the right colour sharpened for the right LED

Fist of all "We Have to decompose the image into primaries to compose the screen in it's highest colour value composite" Sharpening our composure to maximum colour correctness & sharpness Is only a:


Interpolation FRC Frame Compose:

CPU Estimate 300Mhz : 600Mhz : 900Mhz

2 step process,

Max 3 Processor Cycles:
Get/Fetch, Decompose, Blend & Sharpen,

Compose/FRC to pure Primaries Pixel & Interpolation
Max 5 Cycles


The creation of the frame requires so much data bandwidth, more pictures means more RAM...
Refinement means less error repair?

So what can we do ?

This is how interpolation works in principle:

We find the edges of a blurred image, now for our purposes we will Super Sample that image before saving it!

Therefore we have maneuvering room to upscale the actual screen & we can!

Using a simple principle of dividing the Image pixel count into its defining Red, Green, Blue & contrast shadow...

We have three planes of existence? no 4! Red, Green, Blue, Backlight or light shading!

With this we interpolate the nearest Pixel of the closest matching colour..

Not perfect; We still can lose contrast,
But we can take an upscaled image enhanced Alpha blend & get more from the actual display.

We can imagine the image being too red,green,blue, too contrasted?

But no, The project is to bring real extra resolution to the screen; By dividing our Red,Green,Blue,Black & White pixels into individually sharpened & together blended master piece,

One picture; 4 parts; One Whole piece

4 primary colour composure: RS

What does decomposing a frame into 4 colour groups mean?

Red, Green, Blue, Grayscale

Each pixel on a screen has 4 colour components & they are on a different place on the screen,
So when we sharpen; We sharpen to the closest pixel LED of the right colour,
Obtaining the best colour with the most logical of LED content,
the right colour sharpened for the right LED

Divided we FALL, Together we stand tall, The important bit is to catch the pieces that start to fall & rebuild tall!

Rupert S

If you design and create LED Monitors & TV's & want 165Hz refresh rate you often have sRGB, OLED Monitors are over 2x the price! So you need LED,

But how do we get the best out of LED?

Two ways: to be clear we use both methods at the same time!

1: We use FRC to increase colour references within our pallet ...
2: We sharpen & smooth unique content!








Reference source https://is.gd/LEDSource

Main interpolation references:

This doc https://drive.google.com/file/d/1dn0mdYIHsbMsBaqVRIfFkZXJ4xcW_MOA/view?usp=sharing

ICC & FRC https://drive.google.com/file/d/1vKZ5Vvuyaty5XiDQvc6LeSq6n1O3xsDl/view?usp=sharing

FRC Calibration >

FRC_FCPrP(tm):RS (Reference)


FRC & AA & Super Sampling (Reference)

Audio 3D Calibration

2: We use a reference pallet to get the best out of our LED; Such a reference pallet is:

Rec709 Profile in effect : use today! https://is.gd/ColourGrading

Rec709 <> Rec2020 ICC 4 Million Reference Colour Profile : https://drive.google.com/file/d/1sqTm9zuY89sp14Q36sTS2hySll40DilB/view?usp=sharing

For Broadcasting, TV, Monitor & Camera https://is.gd/ICC_Rec2020_709

ICC Colour Profiles for compatibility: https://drive.google.com/file/d/1sqTm9zuY89sp14Q36sTS2hySll40DilB/view?usp=sharing


Colour Profile Professionally


This one will suite Dedicated ARM Machine in body armour 'mental state' ARM Router & TV https://drive.google.com/file/d/102pycYOFpkD1Vqj_N910vennxxIzFh_f/view?usp=sharing

Android & Linux ARM Processor configurations; routers & TV's upgrade files, Update & improve

Providence: https://www.virustotal.com/gui/file/0c999ccda99be1c9535ad72c38dc1947d014966e699d7a259c67f4df56ec4b92/


Python Deep Learning: configurations

AndroLinuxML : https://drive.google.com/file/d/1N92h-nHnzO5Vfq1rcJhkF952aZ1PPZGB/view?usp=sharing

Linux : https://drive.google.com/file/d/1u64mj6vqWwq3hLfgt0rHis1Bvdx_o3vL/view?usp=sharing

Windows : https://drive.google.com/file/d/1dVJHPx9kdXxCg5272fPvnpgY8UtIq57p/view?usp=sharing


Medical Spectroscopy : RS

Medical Spectroscopy, as used on POP & Pope for Pulmonary issues last month)The Synergy for upscaling between SiMD, Matrix & Maths reaches a new hight with { Super temporal Resolution Imaging : RS

For checking Processors, RAM, Components & LED & Technology for production errors & validity of course RS

07:48 21/07/2023

The Synergy for upscaling between SiMD, Matrix & Maths reaches a new hight with
Super temporal Resolution Imaging of Membrane Potential via Stroboscopic Microscopy




Vectors & maths

Networking & Management

Faster Maths & ML

Focus on Quality

Hallelujah RS Light-Wave SiMD https://www.allaboutcircuits.com/news/lightelligence-reports-worlds-first-optical-network-on-chip-processor/



Technology Super temporal Resolution Imaging (STRI)

Technology called Super temporal Resolution Imaging (STRI), which uses SiMD, matrix, and math to achieve higher temporal resolution than traditional imaging techniques. STRI has the potential to revolutionize the field of medical spectroscopy, as it could be used to study biological processes in unprecedented detail.

The text also links to a number of articles and websites that provide more information about STRI. The article from the American Chemical Society (ACS) provides a detailed overview of the technology, while the website from N-Helix discusses the potential applications of STRI in medical spectroscopy.

Overall, the text provides a good overview of the new technology of STRI. It is clear that STRI has the potential to make a significant impact on the field of medical spectroscopy, and it will be interesting to see how this technology develops in the future.

Here are some additional thoughts on the potential of STRI:

STRI could be used to study the dynamics of biological processes in real time. This could lead to new insights into the mechanisms of disease and the development of new treatments.

STRI could be used to image individual cells and organelles. This could provide new information about the structure and function of these cellular components.

STRI could be used to image tissues and organs in vivo. This could provide new insights into the functioning of the human body.

The potential applications of STRI are vast, and it is likely that this technology will have a major impact on the field of medical research in the years to come.

Here are some specific examples of how STRI could be used in medical spectroscopy:

I do not expect to think of everything.. Rupert S

To Examine technology in production for defects.
To Study earth minerals, Chemicals & Compounds.
To Study Physical Dynamic Effects such as Atom polarity & Physics.

To study the dynamics of cell signaling.
To image the movement of molecules within cells.
To visualize the activity of individual proteins.
To diagnose and monitor diseases.
To develop new drugs and treatments.

The possibilities are endless, and it is exciting to think about how STRI could be used to improve our understanding of human health and disease.



Reference Examples Spectroscopy :

Super temporal Resolution Imaging of Membrane Potential via Stroboscopic Microscopy

Synchrotron X-ray Studies of the Structural and Functional Hierarchies in Mineralised Human Dental Enamel: A State-of-the-Art Review

Spectroscopy - Spatial-Super-Sample SpectralRay Attention-Enhanced Generative Adversarial Network for Hyperspectral Imagery Spatial Super-Resolution

Enterobacter hormaechei -Driven Novel Biosynthesis of Tin Oxide Nanoparticles and Evaluation of Their Anti-aging, Cytotoxic, and Enzyme Inhibition Potential

Spectral Observations and Modeling of a Solar White-light Flare Observed by CHASE

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