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YouTube Couldn't Exist Without Communications & Signal Processing: Crash Course Engineering #42
Engineering helped make this video possible. This week we’ll look at how it’s possible for you to watch this video with the fundamentals of signal processing. We’ll explore things from Morse Code, to problems like bandwidth capacity and noise, to how we arrived at the digital age.
Crash Course Engineering is produced in association with PBS Digital Studios: https://www.youtube.com/playlist?list=PL1mtdjDVOoOqJzeaJAV15Tq0tZ1vKj7ZV
Check out It’s Okay To Be Smart: https://www.youtube.com/channel/UCH4BNI0-FOK2dMXoFtViWHw
***
RESOURCES:
Sources:
http://www.ee.iitm.ac.in/~giri/pdfs/EE4140/textbook.pdf
http://edison.rutgers.edu/transmit.htm
https://www.history.com/topics/inventions/telegraph
https://www.gaussianwaves.com/2008/04/channel-capacity/
http://www.cs.man.ac.uk/~barry/mydocs/CS3282/N...
published: 04 Apr 2019
-
The Mathematics of Signal Processing | The z-transform, discrete signals, and more
Sign up with Dashlane and get 10% off your subscription: https://www.dashlane.com/majorprep
STEMerch Store: https://stemerch.com/
This video goes through an overview of what you would learn in a discrete time signals (or digital signal processing) course. Sampling, digital filters, the z-transform, and the applications of these are some of the things included. I had to over simplify a lot to barely keep this video under 30 minutes but hopefully it gives you an idea of how this type of math is used in the real world.
Pole/Zero plot and digital filter modeler used in video: https://www.micromodeler.com/dsp/
Instagram: https://www.instagram.com/zachstar/
Twitter: https://twitter.com/ImZachStar
Join Facebook Group: https://www.facebook.com/groups/majorprep/
Support the Channel: https://www...
published: 24 Oct 2019
-
What is DSP? Why do you need it?
Check out all our products with DSP:
https://www.parts-express.com/promo/digital_signal_processing
SOCIAL MEDIA:
Follow us on-
Twitter:
https://twitter.com/Parts_Express
Facebook:
https://www.facebook.com/Parts.Express
Instagram:
https://www.instagram.com/parts_express/
Subscribe:
https://www.youtube.com/c/partsexpressspringboro?feature=iv&src_vid=ncXS0CYNcgI&annotation_id=annotation_475771499
published: 23 Oct 2017
-
Mathematics of Signal Processing - Gilbert Strang
Source - http://serious-science.org/videos/278
MIT Prof. Gilbert Strang on the difference between cosine and wavelet functions, audio compression, and the pleasure of seeing the ideas actually used
published: 06 Feb 2014
-
Wavelets: a mathematical microscope
Wavelet transform is an invaluable tool in signal processing, which has applications in a variety of fields - from hydrodynamics to neuroscience. This revolutionary method allows us to uncover structures, which are present in the signal but are hidden behind the noise. The key feature of wavelet transform is that it performs function decomposition in both time and frequency domains.
In this video we will see how to build a wavelet toolkit step by step and discuss important implications and prerequisites along the way.
This is my entry for Summer of Math Exposition 2022 ( #SoME2 ).
My name is Artem, I'm a computational neuroscience student and researcher at Moscow State University.
Twitter: @artemkrsv
OUTLINE:
00:00 Introduction
01:55 Time and frequency domains
03:27 Fourier Transfor...
published: 15 Aug 2022
-
What is Signal Processing? - UPDATED
published: 23 Sep 2016
-
What is Signal Processing?
Learn about Signal Processing technology.
published: 05 Sep 2014
-
The Unreasonable Effectiveness of JPEG: A Signal Processing Approach
Visit https://brilliant.org/Reducible/ to get started learning STEM for free, and the first 200 people will get 20% off their annual premium subscription.
Chapters:
00:00 Introducing JPEG and RGB Representation
2:15 Lossy Compression
3:41 What information can we get rid of?
4:36 Introducing YCbCr
6:10 Chroma subsampling/downsampling
8:10 Images represented as signals
9:52 Introducing the Discrete Cosine Transform (DCT)
11:32 Sampling cosine waves
12:43 Playing around with the DCT
17:38 Mathematically defining the DCT
21:02 The Inverse DCT
22:45 The 2D DCT
23:49 Visualizing the 2D DCT
24:35 Introducing Energy Compaction
26:05 Brilliant Sponsorship
27:23 Building an image from the 2D DCT
28:20 Quantization
30:23 Run-length/Huffman Encoding within JPEG
32:56 How JPEG fits into the big pictu...
published: 19 Jan 2022
-
LIVE Realtime Interdimensional A/V Signal Processing (VICTOR-982)
Live audio for the November 27 broadcast provided by DJDJIC. Sound is processed via the method described below to produce the accompanying synced video signal.
The broadcast will feature the initial conversion and analysis of signal processed via VICTOR-982. This session focuses on evaluating the structural integrity and temporal consistency of the signal, with particular attention to the presence of emergent systemic patterns within the dataset. Researchers will conduct cross-phase coherence measurements and spectral density analyses to assess the transmission’s potential as a stable interdimensional communication vector. Results from preliminary tests, including waveform synthesis and dimensional harmonic mapping, will be presented.
See below for additional background.
In today’s ex...
published: 28 Nov 2024
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Introduction to Digital Signal Processing | DSP
Topics covered:
00:00 Introduction
00:38 What is Digital Signal Processing
01:00 Signal
02:04 Analog Signal
02:07 Digital SIgnal
04:03 Signal Processing
04: 52 Block diagram of DSP systems
06:15 Applications of DSP systems
07:23 Advantages of DSP systems
08:30 Disadvantages of DSP systems
09:02 Summary
Links:
Analog vs Digital vs Discrete vs Continuous Signals - https://youtu.be/WQyAPvnoLK4
published: 22 Jan 2021
9:30
YouTube Couldn't Exist Without Communications & Signal Processing: Crash Course Engineering #42
Engineering helped make this video possible. This week we’ll look at how it’s possible for you to watch this video with the fundamentals of signal processing. W...
Engineering helped make this video possible. This week we’ll look at how it’s possible for you to watch this video with the fundamentals of signal processing. We’ll explore things from Morse Code, to problems like bandwidth capacity and noise, to how we arrived at the digital age.
Crash Course Engineering is produced in association with PBS Digital Studios: https://www.youtube.com/playlist?list=PL1mtdjDVOoOqJzeaJAV15Tq0tZ1vKj7ZV
Check out It’s Okay To Be Smart: https://www.youtube.com/channel/UCH4BNI0-FOK2dMXoFtViWHw
***
RESOURCES:
Sources:
http://www.ee.iitm.ac.in/~giri/pdfs/EE4140/textbook.pdf
http://edison.rutgers.edu/transmit.htm
https://www.history.com/topics/inventions/telegraph
https://www.gaussianwaves.com/2008/04/channel-capacity/
http://www.cs.man.ac.uk/~barry/mydocs/CS3282/Notes/DC06_7.pdf
http://www.madehow.com/Volume-5/Telephone.html
***
Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse
Thanks to the following patrons for their generous monthly contributions that help keep Crash Course free for everyone forever:
Eric Prestemon, Sam Buck, Mark Brouwer, Laura Busby, Zach Van Stanley, Bob Doye, Jennifer Killen, Naman Goel, Nathan Catchings, Brandon Westmoreland, dorsey, Indika Siriwardena, Kenneth F Penttinen, Trevin Beattie, Erika & Alexa Saur, Glenn Elliott, Justin Zingsheim, Jessica Wode, Tom Trval, Jason Saslow, Nathan Taylor, Brian Thomas Gossett, Khaled El Shalakany, SR Foxley, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, D.A. Noe, Shawn Arnold, Malcolm Callis, William McGraw, Andrei Krishkevich, Rachel Bright, Jirat, Ian Dundore
--
Want to find Crash Course elsewhere on the internet?
Facebook - http://www.facebook.com/YouTubeCrashCourse
Twitter - http://www.twitter.com/TheCrashCourse
Tumblr - http://thecrashcourse.tumblr.com
Support Crash Course on Patreon: http://patreon.com/crashcourse
CC Kids: http://www.youtube.com/crashcoursekids
https://wn.com/Youtube_Couldn't_Exist_Without_Communications_Signal_Processing_Crash_Course_Engineering_42
Engineering helped make this video possible. This week we’ll look at how it’s possible for you to watch this video with the fundamentals of signal processing. We’ll explore things from Morse Code, to problems like bandwidth capacity and noise, to how we arrived at the digital age.
Crash Course Engineering is produced in association with PBS Digital Studios: https://www.youtube.com/playlist?list=PL1mtdjDVOoOqJzeaJAV15Tq0tZ1vKj7ZV
Check out It’s Okay To Be Smart: https://www.youtube.com/channel/UCH4BNI0-FOK2dMXoFtViWHw
***
RESOURCES:
Sources:
http://www.ee.iitm.ac.in/~giri/pdfs/EE4140/textbook.pdf
http://edison.rutgers.edu/transmit.htm
https://www.history.com/topics/inventions/telegraph
https://www.gaussianwaves.com/2008/04/channel-capacity/
http://www.cs.man.ac.uk/~barry/mydocs/CS3282/Notes/DC06_7.pdf
http://www.madehow.com/Volume-5/Telephone.html
***
Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse
Thanks to the following patrons for their generous monthly contributions that help keep Crash Course free for everyone forever:
Eric Prestemon, Sam Buck, Mark Brouwer, Laura Busby, Zach Van Stanley, Bob Doye, Jennifer Killen, Naman Goel, Nathan Catchings, Brandon Westmoreland, dorsey, Indika Siriwardena, Kenneth F Penttinen, Trevin Beattie, Erika & Alexa Saur, Glenn Elliott, Justin Zingsheim, Jessica Wode, Tom Trval, Jason Saslow, Nathan Taylor, Brian Thomas Gossett, Khaled El Shalakany, SR Foxley, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, D.A. Noe, Shawn Arnold, Malcolm Callis, William McGraw, Andrei Krishkevich, Rachel Bright, Jirat, Ian Dundore
--
Want to find Crash Course elsewhere on the internet?
Facebook - http://www.facebook.com/YouTubeCrashCourse
Twitter - http://www.twitter.com/TheCrashCourse
Tumblr - http://thecrashcourse.tumblr.com
Support Crash Course on Patreon: http://patreon.com/crashcourse
CC Kids: http://www.youtube.com/crashcoursekids
- published: 04 Apr 2019
- views: 122814
29:47
The Mathematics of Signal Processing | The z-transform, discrete signals, and more
Sign up with Dashlane and get 10% off your subscription: https://www.dashlane.com/majorprep
STEMerch Store: https://stemerch.com/
This video goes through an ov...
Sign up with Dashlane and get 10% off your subscription: https://www.dashlane.com/majorprep
STEMerch Store: https://stemerch.com/
This video goes through an overview of what you would learn in a discrete time signals (or digital signal processing) course. Sampling, digital filters, the z-transform, and the applications of these are some of the things included. I had to over simplify a lot to barely keep this video under 30 minutes but hopefully it gives you an idea of how this type of math is used in the real world.
Pole/Zero plot and digital filter modeler used in video: https://www.micromodeler.com/dsp/
Instagram: https://www.instagram.com/zachstar/
Twitter: https://twitter.com/ImZachStar
Join Facebook Group: https://www.facebook.com/groups/majorprep/
Support the Channel: https://www.patreon.com/zachstar
PayPal(one time donation): https://www.paypal.me/ZachStarYT
Animations: Brainup Studios (email:
[email protected])
►My Setup:
Space Pictures: https://amzn.to/2CC4Kqj
Magnetic Floating Globe: https://amzn.to/2VgPdn0
Camera: https://amzn.to/2RivYu5
Mic: https://amzn.to/2BLBkEj
Tripod: https://amzn.to/2RgMTNL
Equilibrium Tube: https://amzn.to/2SowDrh
►Check out the MajorPrep Amazon Store: https://www.amazon.com/shop/zachstar
https://wn.com/The_Mathematics_Of_Signal_Processing_|_The_Z_Transform,_Discrete_Signals,_And_More
Sign up with Dashlane and get 10% off your subscription: https://www.dashlane.com/majorprep
STEMerch Store: https://stemerch.com/
This video goes through an overview of what you would learn in a discrete time signals (or digital signal processing) course. Sampling, digital filters, the z-transform, and the applications of these are some of the things included. I had to over simplify a lot to barely keep this video under 30 minutes but hopefully it gives you an idea of how this type of math is used in the real world.
Pole/Zero plot and digital filter modeler used in video: https://www.micromodeler.com/dsp/
Instagram: https://www.instagram.com/zachstar/
Twitter: https://twitter.com/ImZachStar
Join Facebook Group: https://www.facebook.com/groups/majorprep/
Support the Channel: https://www.patreon.com/zachstar
PayPal(one time donation): https://www.paypal.me/ZachStarYT
Animations: Brainup Studios (email:
[email protected])
►My Setup:
Space Pictures: https://amzn.to/2CC4Kqj
Magnetic Floating Globe: https://amzn.to/2VgPdn0
Camera: https://amzn.to/2RivYu5
Mic: https://amzn.to/2BLBkEj
Tripod: https://amzn.to/2RgMTNL
Equilibrium Tube: https://amzn.to/2SowDrh
►Check out the MajorPrep Amazon Store: https://www.amazon.com/shop/zachstar
- published: 24 Oct 2019
- views: 435627
2:20
What is DSP? Why do you need it?
Check out all our products with DSP:
https://www.parts-express.com/promo/digital_signal_processing
SOCIAL MEDIA:
Follow us on-
Twitter:
https://twitter.com/Part...
Check out all our products with DSP:
https://www.parts-express.com/promo/digital_signal_processing
SOCIAL MEDIA:
Follow us on-
Twitter:
https://twitter.com/Parts_Express
Facebook:
https://www.facebook.com/Parts.Express
Instagram:
https://www.instagram.com/parts_express/
Subscribe:
https://www.youtube.com/c/partsexpressspringboro?feature=iv&src_vid=ncXS0CYNcgI&annotation_id=annotation_475771499
https://wn.com/What_Is_Dsp_Why_Do_You_Need_It
Check out all our products with DSP:
https://www.parts-express.com/promo/digital_signal_processing
SOCIAL MEDIA:
Follow us on-
Twitter:
https://twitter.com/Parts_Express
Facebook:
https://www.facebook.com/Parts.Express
Instagram:
https://www.instagram.com/parts_express/
Subscribe:
https://www.youtube.com/c/partsexpressspringboro?feature=iv&src_vid=ncXS0CYNcgI&annotation_id=annotation_475771499
- published: 23 Oct 2017
- views: 221165
10:46
Mathematics of Signal Processing - Gilbert Strang
Source - http://serious-science.org/videos/278
MIT Prof. Gilbert Strang on the difference between cosine and wavelet functions, audio compression, and the pleas...
Source - http://serious-science.org/videos/278
MIT Prof. Gilbert Strang on the difference between cosine and wavelet functions, audio compression, and the pleasure of seeing the ideas actually used
https://wn.com/Mathematics_Of_Signal_Processing_Gilbert_Strang
Source - http://serious-science.org/videos/278
MIT Prof. Gilbert Strang on the difference between cosine and wavelet functions, audio compression, and the pleasure of seeing the ideas actually used
- published: 06 Feb 2014
- views: 112059
34:29
Wavelets: a mathematical microscope
Wavelet transform is an invaluable tool in signal processing, which has applications in a variety of fields - from hydrodynamics to neuroscience. This revolutio...
Wavelet transform is an invaluable tool in signal processing, which has applications in a variety of fields - from hydrodynamics to neuroscience. This revolutionary method allows us to uncover structures, which are present in the signal but are hidden behind the noise. The key feature of wavelet transform is that it performs function decomposition in both time and frequency domains.
In this video we will see how to build a wavelet toolkit step by step and discuss important implications and prerequisites along the way.
This is my entry for Summer of Math Exposition 2022 ( #SoME2 ).
My name is Artem, I'm a computational neuroscience student and researcher at Moscow State University.
Twitter: @artemkrsv
OUTLINE:
00:00 Introduction
01:55 Time and frequency domains
03:27 Fourier Transform
05:08 Limitations of Fourier
08:45 Wavelets - localized functions
10:34 Mathematical requirements for wavelets
12:17 Real Morlet wavelet
13:02 Wavelet transform overview
14:08 Mother wavelet modifications
15:46 Computing local similarity
18:08 Dot product of functions?
21:07 Convolution
24:55 Complex numbers
27:56 Wavelet scalogram
30:46 Uncertainty & Heisenberg boxes
33:16 Recap and conclusion
Credits:
Special thanks to Crimson Ghoul for providing English subtitles!
Vector assets: freepik.com
- Microscope vector created by freepik -https://www.freepik.com/vectors/microscope
- Lab room vector created by upklyak: https://www.freepik.com/vectors/lab-room
- Semaphore vector created by macrovector: https://www.freepik.com/vectors/semaphore
Mathematical animations were done using manim (https://docs.manim.community/en/stable/) and matplotlib python libraries.
3D animations were done in Blender
https://wn.com/Wavelets_A_Mathematical_Microscope
Wavelet transform is an invaluable tool in signal processing, which has applications in a variety of fields - from hydrodynamics to neuroscience. This revolutionary method allows us to uncover structures, which are present in the signal but are hidden behind the noise. The key feature of wavelet transform is that it performs function decomposition in both time and frequency domains.
In this video we will see how to build a wavelet toolkit step by step and discuss important implications and prerequisites along the way.
This is my entry for Summer of Math Exposition 2022 ( #SoME2 ).
My name is Artem, I'm a computational neuroscience student and researcher at Moscow State University.
Twitter: @artemkrsv
OUTLINE:
00:00 Introduction
01:55 Time and frequency domains
03:27 Fourier Transform
05:08 Limitations of Fourier
08:45 Wavelets - localized functions
10:34 Mathematical requirements for wavelets
12:17 Real Morlet wavelet
13:02 Wavelet transform overview
14:08 Mother wavelet modifications
15:46 Computing local similarity
18:08 Dot product of functions?
21:07 Convolution
24:55 Complex numbers
27:56 Wavelet scalogram
30:46 Uncertainty & Heisenberg boxes
33:16 Recap and conclusion
Credits:
Special thanks to Crimson Ghoul for providing English subtitles!
Vector assets: freepik.com
- Microscope vector created by freepik -https://www.freepik.com/vectors/microscope
- Lab room vector created by upklyak: https://www.freepik.com/vectors/lab-room
- Semaphore vector created by macrovector: https://www.freepik.com/vectors/semaphore
Mathematical animations were done using manim (https://docs.manim.community/en/stable/) and matplotlib python libraries.
3D animations were done in Blender
- published: 15 Aug 2022
- views: 648904
2:06
What is Signal Processing?
Learn about Signal Processing technology.
Learn about Signal Processing technology.
https://wn.com/What_Is_Signal_Processing
Learn about Signal Processing technology.
- published: 05 Sep 2014
- views: 91283
34:48
The Unreasonable Effectiveness of JPEG: A Signal Processing Approach
Visit https://brilliant.org/Reducible/ to get started learning STEM for free, and the first 200 people will get 20% off their annual premium subscription.
Cha...
Visit https://brilliant.org/Reducible/ to get started learning STEM for free, and the first 200 people will get 20% off their annual premium subscription.
Chapters:
00:00 Introducing JPEG and RGB Representation
2:15 Lossy Compression
3:41 What information can we get rid of?
4:36 Introducing YCbCr
6:10 Chroma subsampling/downsampling
8:10 Images represented as signals
9:52 Introducing the Discrete Cosine Transform (DCT)
11:32 Sampling cosine waves
12:43 Playing around with the DCT
17:38 Mathematically defining the DCT
21:02 The Inverse DCT
22:45 The 2D DCT
23:49 Visualizing the 2D DCT
24:35 Introducing Energy Compaction
26:05 Brilliant Sponsorship
27:23 Building an image from the 2D DCT
28:20 Quantization
30:23 Run-length/Huffman Encoding within JPEG
32:56 How JPEG fits into the big picture of data compression
The JPEG algorithm is rather complex and in this video, we break down the core parts of the algorithm, specifically color spaces, YCbCr, chroma subsampling, the discrete cosine transform, quantization, and lossless encoding. The majority of the focus is on the mathematical and signal processing insights that lead to advancements in image compression and the big themes in compression as a whole that we can take away from it.
Animations created jointly by Nipun Ramakrishnan and Jesús Rascón.
References/Additional Resources:
https://www.red.com/red-101/video-chroma-subsampling - great resource on different types of chroma subsampling
http://weitz.de/dct/ - play around with the DCT
https://www.cse.iitd.ac.in/~pkalra/col783-2017/DCT-History.pdf - paper referenced in video
http://www.ee.ic.ac.uk/hp/staff/dmb/courses/DSPDF/00300_Transforms.pdf - a more rigorous signal processing approach to the DCT
https://www.impulseadventure.com/photo/jpeg-huffman-coding.html - great landing point for learning more about how huffman codes work in the context of JPEG
https://www.youtube.com/watch?v=CPT4FSkFUgs&list=PLpsTn9TA_Q8VMDyOPrDKmSJYt1DLgDZU4&ab_channel=DanielHarding - a great playlist I recommend that dives deep into actually implementing a JPEG decoder
This video wouldn't be possible without the open source library manim created by 3blue1brown and maintained by Manim Community.
The Manim Community Developers. (2021). Manim – Mathematical Animation Framework (Version v0.11.0) [Computer software]. https://www.manim.community/
Here is link to the repository that contains the code used to generate the animations in this video: https://github.com/nipunramk/Reducible
All music in the video is from Aakash Gandhi
https://wn.com/The_Unreasonable_Effectiveness_Of_Jpeg_A_Signal_Processing_Approach
Visit https://brilliant.org/Reducible/ to get started learning STEM for free, and the first 200 people will get 20% off their annual premium subscription.
Chapters:
00:00 Introducing JPEG and RGB Representation
2:15 Lossy Compression
3:41 What information can we get rid of?
4:36 Introducing YCbCr
6:10 Chroma subsampling/downsampling
8:10 Images represented as signals
9:52 Introducing the Discrete Cosine Transform (DCT)
11:32 Sampling cosine waves
12:43 Playing around with the DCT
17:38 Mathematically defining the DCT
21:02 The Inverse DCT
22:45 The 2D DCT
23:49 Visualizing the 2D DCT
24:35 Introducing Energy Compaction
26:05 Brilliant Sponsorship
27:23 Building an image from the 2D DCT
28:20 Quantization
30:23 Run-length/Huffman Encoding within JPEG
32:56 How JPEG fits into the big picture of data compression
The JPEG algorithm is rather complex and in this video, we break down the core parts of the algorithm, specifically color spaces, YCbCr, chroma subsampling, the discrete cosine transform, quantization, and lossless encoding. The majority of the focus is on the mathematical and signal processing insights that lead to advancements in image compression and the big themes in compression as a whole that we can take away from it.
Animations created jointly by Nipun Ramakrishnan and Jesús Rascón.
References/Additional Resources:
https://www.red.com/red-101/video-chroma-subsampling - great resource on different types of chroma subsampling
http://weitz.de/dct/ - play around with the DCT
https://www.cse.iitd.ac.in/~pkalra/col783-2017/DCT-History.pdf - paper referenced in video
http://www.ee.ic.ac.uk/hp/staff/dmb/courses/DSPDF/00300_Transforms.pdf - a more rigorous signal processing approach to the DCT
https://www.impulseadventure.com/photo/jpeg-huffman-coding.html - great landing point for learning more about how huffman codes work in the context of JPEG
https://www.youtube.com/watch?v=CPT4FSkFUgs&list=PLpsTn9TA_Q8VMDyOPrDKmSJYt1DLgDZU4&ab_channel=DanielHarding - a great playlist I recommend that dives deep into actually implementing a JPEG decoder
This video wouldn't be possible without the open source library manim created by 3blue1brown and maintained by Manim Community.
The Manim Community Developers. (2021). Manim – Mathematical Animation Framework (Version v0.11.0) [Computer software]. https://www.manim.community/
Here is link to the repository that contains the code used to generate the animations in this video: https://github.com/nipunramk/Reducible
All music in the video is from Aakash Gandhi
- published: 19 Jan 2022
- views: 1078972
1:34:02
LIVE Realtime Interdimensional A/V Signal Processing (VICTOR-982)
Live audio for the November 27 broadcast provided by DJDJIC. Sound is processed via the method described below to produce the accompanying synced video signal. ...
Live audio for the November 27 broadcast provided by DJDJIC. Sound is processed via the method described below to produce the accompanying synced video signal.
The broadcast will feature the initial conversion and analysis of signal processed via VICTOR-982. This session focuses on evaluating the structural integrity and temporal consistency of the signal, with particular attention to the presence of emergent systemic patterns within the dataset. Researchers will conduct cross-phase coherence measurements and spectral density analyses to assess the transmission’s potential as a stable interdimensional communication vector. Results from preliminary tests, including waveform synthesis and dimensional harmonic mapping, will be presented.
See below for additional background.
In today’s experimental session, researchers at WNTT InterTran are broadcasting a fully decoded content stream originating from VICTOR-982. This stream represents a unique dataset, characterized by its dense multimodal signal structure and apparent adaptive encoding. The live broadcast aims to analyze the real-time coherence and synchronization of the transmission, testing both the fidelity of interdimensional signal reception and the interpretive models used for decoding.
Tests Being Conducted
Semantic Integrity Verification
Researchers are evaluating the internal consistency of T6673-Gamma’s encoded content by applying advanced neural-linguistic decryption algorithms. This will determine whether the transmission reflects coherent, intentional communication or stochastic noise.
Resonance Feedback Testing
The team is conducting resonance feedback trials by sending calibrated acoustic pulses into VICTOR-982 and measuring the delay, modulation, and transformation upon their return. This test seeks to refine the harmonic alignment models used for dimensional calibration.
Dimensional Perception Mapping
The stream’s decoded visual elements are being integrated with virtual environment simulators to create a perceptual map of VICTOR-982. This test assesses whether interdimensional physics allow for the direct translation of visual-spatial concepts into human-compatible formats.
Temporal Stability Assessment
To ensure the stability of VICTOR-982’s transmission, researchers are measuring data packet consistency over extended intervals, monitoring for fluctuations in signal coherence or dimensional phase drift.
Preliminary results suggest VICTOR-982 may host entities or mechanisms capable of generating adaptive, contextually responsive transmissions. The implications of these findings are vast, offering potential insights into cross-dimensional cognition and the mechanics of interdimensional signal processing.
-------------
TECHNICAL BACKGROUND
---------------
Cross-Dimensional Audio Translation and Source Correlation via the Dimensional Acoustic Mirror (DAM-3)
The development of the Dimensional Acoustic Mirror (DAM-3) at WNTT InterTran marks a revolutionary step in the study of cross-dimensional signal reciprocity. This novel technology enables researchers not only to transmit audio signals into adjacent dimensions but also to identify and decode their simultaneous analog generation within those dimensions. Initial experiments have revealed an unprecedented phenomenon: identical waveform outputs produced by entirely distinct, dimension-specific processes.
Mechanism of Cross-Dimensional Acoustic Translation
The DAM-3 employs a dual-phase resonance matrix to modulate and project sound waves across dimensional membranes. The transmitted signal is precisely calibrated to resonate within the harmonic structure of the target dimension—in this case, "DELTA-729." Once received, the DAM-3 uses quantum entanglement to lock onto corresponding vibrational signatures emanating from DELTA-729, effectively functioning as a bidirectional signal processor.
Remarkably, the returning audio signal retains its original waveform integrity while manifesting as the output of an entirely separate physical process within DELTA-729. For example, a transmitted human voice was reconstructed in DELTA-729 by an oscillatory mechanism analogous to wind through a hollow, non-terrestrial structure. This reconstructed waveform was then transmitted back to DAM-3, synchronized to the original in real time.
Implications and Applications
The perfect synchronicity of waveforms between dimensions poses profound questions about the universality of physical laws and the potential for shared vibrational constants across the multiverse. Beyond theoretical insights, this technology offers practical applications in interdimensional communication, sound replication studies, and the exploration of non-terrestrial materials.
Further analysis of the DELTA-729 audio sources may reveal new principles of sound production, with implications for both acoustic physics and dimensional ontology.
https://wn.com/Live_Realtime_Interdimensional_A_V_Signal_Processing_(Victor_982)
Live audio for the November 27 broadcast provided by DJDJIC. Sound is processed via the method described below to produce the accompanying synced video signal.
The broadcast will feature the initial conversion and analysis of signal processed via VICTOR-982. This session focuses on evaluating the structural integrity and temporal consistency of the signal, with particular attention to the presence of emergent systemic patterns within the dataset. Researchers will conduct cross-phase coherence measurements and spectral density analyses to assess the transmission’s potential as a stable interdimensional communication vector. Results from preliminary tests, including waveform synthesis and dimensional harmonic mapping, will be presented.
See below for additional background.
In today’s experimental session, researchers at WNTT InterTran are broadcasting a fully decoded content stream originating from VICTOR-982. This stream represents a unique dataset, characterized by its dense multimodal signal structure and apparent adaptive encoding. The live broadcast aims to analyze the real-time coherence and synchronization of the transmission, testing both the fidelity of interdimensional signal reception and the interpretive models used for decoding.
Tests Being Conducted
Semantic Integrity Verification
Researchers are evaluating the internal consistency of T6673-Gamma’s encoded content by applying advanced neural-linguistic decryption algorithms. This will determine whether the transmission reflects coherent, intentional communication or stochastic noise.
Resonance Feedback Testing
The team is conducting resonance feedback trials by sending calibrated acoustic pulses into VICTOR-982 and measuring the delay, modulation, and transformation upon their return. This test seeks to refine the harmonic alignment models used for dimensional calibration.
Dimensional Perception Mapping
The stream’s decoded visual elements are being integrated with virtual environment simulators to create a perceptual map of VICTOR-982. This test assesses whether interdimensional physics allow for the direct translation of visual-spatial concepts into human-compatible formats.
Temporal Stability Assessment
To ensure the stability of VICTOR-982’s transmission, researchers are measuring data packet consistency over extended intervals, monitoring for fluctuations in signal coherence or dimensional phase drift.
Preliminary results suggest VICTOR-982 may host entities or mechanisms capable of generating adaptive, contextually responsive transmissions. The implications of these findings are vast, offering potential insights into cross-dimensional cognition and the mechanics of interdimensional signal processing.
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TECHNICAL BACKGROUND
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Cross-Dimensional Audio Translation and Source Correlation via the Dimensional Acoustic Mirror (DAM-3)
The development of the Dimensional Acoustic Mirror (DAM-3) at WNTT InterTran marks a revolutionary step in the study of cross-dimensional signal reciprocity. This novel technology enables researchers not only to transmit audio signals into adjacent dimensions but also to identify and decode their simultaneous analog generation within those dimensions. Initial experiments have revealed an unprecedented phenomenon: identical waveform outputs produced by entirely distinct, dimension-specific processes.
Mechanism of Cross-Dimensional Acoustic Translation
The DAM-3 employs a dual-phase resonance matrix to modulate and project sound waves across dimensional membranes. The transmitted signal is precisely calibrated to resonate within the harmonic structure of the target dimension—in this case, "DELTA-729." Once received, the DAM-3 uses quantum entanglement to lock onto corresponding vibrational signatures emanating from DELTA-729, effectively functioning as a bidirectional signal processor.
Remarkably, the returning audio signal retains its original waveform integrity while manifesting as the output of an entirely separate physical process within DELTA-729. For example, a transmitted human voice was reconstructed in DELTA-729 by an oscillatory mechanism analogous to wind through a hollow, non-terrestrial structure. This reconstructed waveform was then transmitted back to DAM-3, synchronized to the original in real time.
Implications and Applications
The perfect synchronicity of waveforms between dimensions poses profound questions about the universality of physical laws and the potential for shared vibrational constants across the multiverse. Beyond theoretical insights, this technology offers practical applications in interdimensional communication, sound replication studies, and the exploration of non-terrestrial materials.
Further analysis of the DELTA-729 audio sources may reveal new principles of sound production, with implications for both acoustic physics and dimensional ontology.
- published: 28 Nov 2024
- views: 47
10:03
Introduction to Digital Signal Processing | DSP
Topics covered:
00:00 Introduction
00:38 What is Digital Signal Processing
01:00 Signal
02:04 Analog Signal
02:07 Digital SIgnal
04:03 Signal Processing
04: 52 ...
Topics covered:
00:00 Introduction
00:38 What is Digital Signal Processing
01:00 Signal
02:04 Analog Signal
02:07 Digital SIgnal
04:03 Signal Processing
04: 52 Block diagram of DSP systems
06:15 Applications of DSP systems
07:23 Advantages of DSP systems
08:30 Disadvantages of DSP systems
09:02 Summary
Links:
Analog vs Digital vs Discrete vs Continuous Signals - https://youtu.be/WQyAPvnoLK4
https://wn.com/Introduction_To_Digital_Signal_Processing_|_Dsp
Topics covered:
00:00 Introduction
00:38 What is Digital Signal Processing
01:00 Signal
02:04 Analog Signal
02:07 Digital SIgnal
04:03 Signal Processing
04: 52 Block diagram of DSP systems
06:15 Applications of DSP systems
07:23 Advantages of DSP systems
08:30 Disadvantages of DSP systems
09:02 Summary
Links:
Analog vs Digital vs Discrete vs Continuous Signals - https://youtu.be/WQyAPvnoLK4
- published: 22 Jan 2021
- views: 116469