In a digital world governed by binary precision, there is a ghost in the machine. It appears in the settings menus of our cameras and the export windows of our editing software. It is the spectral presence of fractional math: 23.976, 29.97, and 59.94.
These numbers are messy. They are relics. It is time we fully embraced a concept that brings sanity back to video: Metric Frame Rates.
What are Metric Frame Rates? They are the clean, integer-based measurements of time that align perfectly with the way we count seconds. They are the logical progression of temporal resolution:
* 25 fps: The cinematic baseline.
* 50 fps: The standard for smooth, lucid motion.
* 100 fps: High precision and clarity.
* 200 fps: Extreme fluidity and slow-motion capability.
Unlike the fractional legacy standards, these rates—25, 50, 100, and 200—do not require a calculator to determine how many frames exist in an hour of footage. They are absolute.
To understand the beauty of Metric Frame Rates, you have to look at the chaos they replace.
For decades, North America and parts of Asia have been stuck with the “NTSC” standard. Originally, black and white television ran at a clean 30 frames per second. But when engineers added color in the 1950s, they hit a snag: the color signal interfered with the audio signal.
Their solution? Slow the video down by exactly 0.1%.
Suddenly, 30 fps became 29.97 fps. 60 fields per second became 59.94. Cinema’s 24 fps was slowed to 23.976.
This “fractional frame rate” created a nightmare for editors and engineers. Timecode became a headache (Drop-Frame vs. Non-Drop Frame). Audio drifted out of sync over long durations. We have been carrying this baggage for over half a century, long after the analog cathode-ray tubes that required it were thrown into landfills.
Metric Frame Rates (rooted historically in the PAL/SECAM regions and 50Hz power grids) bypassed this absurdity. They stuck to the integers.
Metric rates scale perfectly.
* 25 fits into 50 exactly twice.
* 50 fits into 100 exactly twice.
* 100 fits into 200 exactly twice.
This base-2 geometric progression makes frame-rate conversion, math, and compression algorithms significantly more efficient. If you shoot at 100 fps and want to slow it down to 25 fps, the math is flawless: play every frame for 4x slow motion. No “pulldown” patterns, no jitter, no ghost frames.
While Hollywood clings to 24 (or the dreaded 23.976), 25 fps offers a nearly identical aesthetic experience with a slightly higher temporal resolution. It retains the “dreamlike” quality of film without the fractional headache.
50 frames per second is the metric answer to the “soap opera effect,” but used correctly, it provides the “being there” feeling required for news, sports, and documentation. It captures reality with fluid precision, free from the flicker of lower rates.
As we push into high-refresh-rate displays (120Hz, 144Hz, 240Hz), Metric Frame Rates like 100 and 200 are becoming vital. They offer a hyper-real smoothness that 29.97 can never achieve. Furthermore, 100 fps serves as the perfect “universal donor” for slow motion—fast enough to capture high-speed action, but mathematically simple enough to conform down to 50 or 25 for delivery
We no longer live in an analog world of interfering radio frequencies. We live in a digital world of absolute values.
There is no technical reason for a modern digital creator to be forced to use 29.97 unless they are broadcasting to legacy television networks. For the rest of us—creating for the web, for streaming, and for the future—it is time to reject the bizarre numbers of the past.
It is time to standardize on the clean, logical, and precise integers of 25, 50, 100, and 200.
The Big bang theory without a laugh track just makes them all seem like they can’t stand each other at all.
This is exciting… I’m presenting in September
In the fourth webinar on September 20, Anthony Kuzub will discuss the new AES72 standard from SC-05-02 for transporting either analog or digital audio over quad twisted pair cable, including documentation of RJ45 connector pin-outs.
Http://www.aes.org/blog/2021/3/audio-standards-and-interoperability-in
From https://www.elecrow.com/crowtail.html

Faders A0-7
Screens D12-15
UART GNSS? PTP?

For your enjoyment:
Digitally Controlled Analog Surround Sound Panning
Presentation:
Circuit Explination:
Presentation documents:
0 – TPJ – Technical Presentation
0 – TPJ556-FINAL report DCASSP-COMPLETE
0 – TPJ556-FINAL report DCASSP-SCHEMATICS V1
Project Source Code:
Adding to the book list for 2015. Lots learned and so much more to learn!
Someone picked my brain the other day looking for a technique to compress language files.
After walking away to think about it… my method was to re-order the ASCII code to the letters by their frequency and the most common words by their frequency.
Where lowercase e is stored as an ASCII value using 1 byte
ASCII e = 0x61 = 0b1100001 = 7 bits
vs
APK e = 0x1 = 1 bit
… this method stores an E in 1 bit. This is similar to the Huffman Code with the addition of whole words being included in the code.
For example:
“because” is the 94th most used word in the english language and in this method is stored in 7 bits.
I don’t know if this has been done before… but I would imagine it could compress Language files substantially.
I have thought about a third addition of using the most used 2 or three letter combinations commonly used.
| APK ORDER | APK | LET FREQ | WORD FEQ | APK BIN | APK HEX | APK BITS USED |
| 0 | space | 0 | 0 | 1 | ||
| 1 | e | 12.70% | 1 | 1 | 1 | |
| 2 | t | 9.06% | 10 | 2 | 2 | |
| 3 | a | 8.17% | 11 | 3 | 2 | |
| 4 | o | 7.51% | 100 | 4 | 3 | |
| 5 | i | 6.97% | 101 | 5 | 3 | |
| 6 | n | 6.75% | 110 | 6 | 3 | |
| 7 | s | 6.33% | 111 | 7 | 3 | |
| 8 | h | 6.09% | 1000 | 8 | 4 | |
| 9 | r | 5.99% | 1001 | 9 | 4 | |
| 10 | d | 4.25% | 1010 | A | 4 | |
| 11 | l | 4.03% | 1011 | B | 4 | |
| 12 | c | 2.78% | 1100 | C | 4 | |
| 13 | u | 2.76% | 1101 | D | 4 | |
| 14 | m | 2.41% | 1110 | E | 4 | |
| 15 | w | 2.36% | 1111 | F | 4 | |
| 16 | f | 2.23% | 10000 | 10 | 5 | |
| 17 | g | 2.02% | 10001 | 11 | 5 | |
| 18 | y | 1.97% | 10010 | 12 | 5 | |
| 19 | p | 1.93% | 10011 | 13 | 5 | |
| 20 | b | 1.49% | 10100 | 14 | 5 | |
| 21 | v | 0.98% | 10101 | 15 | 5 | |
| 22 | k | 0.77% | 10110 | 16 | 5 | |
| 23 | j | 0.15% | 10111 | 17 | 5 | |
| 24 | x | 0.15% | 11000 | 18 | 5 | |
| 25 | q | 0.10% | 11001 | 19 | 5 | |
| 26 | z | 0.07% | 11010 | 1A | 5 | |
| 27 | the | 1 | 11011 | 1B | 5 | |
| 28 | be | 2 | 11100 | 1C | 5 | |
| 29 | to | 3 | 11101 | 1D | 5 | |
| 30 | of | 4 | 11110 | 1E | 5 | |
| 31 | and | 5 | 11111 | 1F | 5 | |
| 32 | a | 6 | 100000 | 20 | 6 | |
| 33 | in | 7 | 100001 | 21 | 6 | |
| 34 | that | 8 | 100010 | 22 | 6 | |
| 35 | have | 9 | 100011 | 23 | 6 | |
| 36 | I | 10 | 100100 | 24 | 6 | |
| 37 | it | 11 | 100101 | 25 | 6 | |
| 38 | for | 12 | 100110 | 26 | 6 | |
| 39 | not | 13 | 100111 | 27 | 6 | |
| 40 | on | 14 | 101000 | 28 | 6 | |
| 41 | with | 15 | 101001 | 29 | 6 | |
| 42 | he | 16 | 101010 | 2A | 6 | |
| 43 | as | 17 | 101011 | 2B | 6 | |
| 44 | you | 18 | 101100 | 2C | 6 | |
| 45 | do | 19 | 101101 | 2D | 6 | |
| 46 | at | 20 | 101110 | 2E | 6 | |
| 47 | this | 21 | 101111 | 2F | 6 | |
| 48 | but | 22 | 110000 | 30 | 6 | |
| 49 | his | 23 | 110001 | 31 | 6 | |
| 50 | by | 24 | 110010 | 32 | 6 | |
| 51 | from | 25 | 110011 | 33 | 6 | |
| 52 | they | 26 | 110100 | 34 | 6 | |
| 53 | we | 27 | 110101 | 35 | 6 | |
| 54 | say | 28 | 110110 | 36 | 6 | |
| 55 | her | 29 | 110111 | 37 | 6 | |
| 56 | she | 30 | 111000 | 38 | 6 | |
| 57 | or | 31 | 111001 | 39 | 6 | |
| 58 | an | 32 | 111010 | 3A | 6 | |
| 59 | will | 33 | 111011 | 3B | 6 | |
| 60 | my | 34 | 111100 | 3C | 6 | |
| 61 | one | 35 | 111101 | 3D | 6 | |
| 62 | all | 36 | 111110 | 3E | 6 | |
| 63 | would | 37 | 111111 | 3F | 6 | |
| 64 | there | 38 | 1000000 | 40 | 7 | |
| 65 | their | 39 | 1000001 | 41 | 7 | |
| 66 | what | 40 | 1000010 | 42 | 7 | |
| 67 | so | 41 | 1000011 | 43 | 7 | |
| 68 | up | 42 | 1000100 | 44 | 7 | |
| 69 | out | 43 | 1000101 | 45 | 7 | |
| 70 | if | 44 | 1000110 | 46 | 7 | |
| 71 | about | 45 | 1000111 | 47 | 7 | |
| 72 | who | 46 | 1001000 | 48 | 7 | |
| 73 | get | 47 | 1001001 | 49 | 7 | |
| 74 | which | 48 | 1001010 | 4A | 7 | |
| 75 | go | 49 | 1001011 | 4B | 7 | |
| 76 | me | 50 | 1001100 | 4C | 7 | |
| 77 | when | 51 | 1001101 | 4D | 7 | |
| 78 | make | 52 | 1001110 | 4E | 7 | |
| 79 | can | 53 | 1001111 | 4F | 7 | |
| 80 | like | 54 | 1010000 | 50 | 7 | |
| 81 | time | 55 | 1010001 | 51 | 7 | |
| 82 | no | 56 | 1010010 | 52 | 7 | |
| 83 | just | 57 | 1010011 | 53 | 7 | |
| 84 | him | 58 | 1010100 | 54 | 7 | |
| 85 | know | 59 | 1010101 | 55 | 7 | |
| 86 | take | 60 | 1010110 | 56 | 7 | |
| 87 | people | 61 | 1010111 | 57 | 7 | |
| 88 | into | 62 | 1011000 | 58 | 7 | |
| 89 | year | 63 | 1011001 | 59 | 7 | |
| 90 | your | 64 | 1011010 | 5A | 7 | |
| 91 | good | 65 | 1011011 | 5B | 7 | |
| 92 | some | 66 | 1011100 | 5C | 7 | |
| 93 | could | 67 | 1011101 | 5D | 7 | |
| 94 | them | 68 | 1011110 | 5E | 7 | |
| 95 | see | 69 | 1011111 | 5F | 7 | |
| 96 | other | 70 | 1100000 | 60 | 7 | |
| 97 | than | 71 | 1100001 | 61 | 7 | |
| 98 | then | 72 | 1100010 | 62 | 7 | |
| 99 | now | 73 | 1100011 | 63 | 7 | |
| 100 | look | 74 | 1100100 | 64 | 7 | |
| 101 | only | 75 | 1100101 | 65 | 7 | |
| 102 | come | 76 | 1100110 | 66 | 7 | |
| 103 | its | 77 | 1100111 | 67 | 7 | |
| 104 | over | 78 | 1101000 | 68 | 7 | |
| 105 | think | 79 | 1101001 | 69 | 7 | |
| 106 | also | 80 | 1101010 | 6A | 7 | |
| 107 | back | 81 | 1101011 | 6B | 7 | |
| 108 | after | 82 | 1101100 | 6C | 7 | |
| 109 | use | 83 | 1101101 | 6D | 7 | |
| 110 | two | 84 | 1101110 | 6E | 7 | |
| 111 | how | 85 | 1101111 | 6F | 7 | |
| 112 | our | 86 | 1110000 | 70 | 7 | |
| 113 | work | 87 | 1110001 | 71 | 7 | |
| 114 | first | 88 | 1110010 | 72 | 7 | |
| 115 | well | 89 | 1110011 | 73 | 7 | |
| 116 | way | 90 | 1110100 | 74 | 7 | |
| 117 | even | 91 | 1110101 | 75 | 7 | |
| 118 | new | 92 | 1110110 | 76 | 7 | |
| 119 | want | 93 | 1110111 | 77 | 7 | |
| 120 | because | 94 | 1111000 | 78 | 7 | |
| 121 | any | 95 | 1111001 | 79 | 7 | |
| 122 | these | 96 | 1111010 | 7A | 7 | |
| 123 | give | 97 | 1111011 | 7B | 7 | |
| 124 | day | 98 | 1111100 | 7C | 7 | |
| 125 | most | 99 | 1111101 | 7D | 7 | |
| 126 | use | 100 | 1111110 | 7E | 7 |
I was lucky enough to get to visit the new Atmos mix room at Deluxe Toronto. This was the deadest big room I’ve ever been in. It was impressive to hear the system. Being a part of the AES gave me an incredible experience of A/B-ing the new IMAX mix room at Technicolor and the Atmos room at Deluxe. In my opinion the ideas of IMAX immersive technologies translate much better. The guys at IMAX got it right.
Martin Pilchner did an amazing job.
They had a guy from dolby explaining a little about how Atmos renders… very interesting how it translates from room to room.
More information from the Dolby Site:

Imax – The Next generation of IMAX sound – 12 Channel configuration – and LASER projectors, about time!!
Had a fantastic experience with the new IMAX sound system at the AES meeting held at Technicolor.
The “Upper Quad” ceiling speakers really bring it together.
VBAP is going to need some work… and a HUI
I walked away asking: “If it were truly immersive, there would never be idle speakers” Cory said: “Backgrounds are the first thing to go…” I think those will become crucial.
I also walked away wanting a dozen U87s…
Of course you could hear the birds chirping and running away WHILE the rocket was launching…
