YouTube Couldn't Exist Without Communications & Signal Processing: Crash Course Engineering #42
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Date: 2022-04-04
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Comments and reviews: 10
Matt
I think this video picks a fine analogy for bandwidth and noise with the pipes and flowing water, but explains it poorly. Especially when the discussion of Shannon's limit comes in. It's a simple analogy: bandwidth is the size of your pipe but noise is how clogged that pipe is. A big pipe that's really clogged (high bandwidth, but high noise) may not transmit more water (data) than a small pipe that's squeaky clean (low bandwidth, low noise.
I don't think that their analogy where it showed a large pipe making a clear picture but the small pipe making a noisy picture explained this well.
I also think they could have made it clearer that Shannon's equation gives the limit of how much data you can send given a certain bandwidth and signal to noise ratio, but not a guarantee. It's signal processing researchers and engineers that create methods of communication that approach that limit for different applications. They don't seem to draw the right lines between signal processing and computer engineering, since once the internet enters your computer the signal processing part is basically over and it's hardware and computer engineering from then on out.
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I think this video picks a fine analogy for bandwidth and noise with the pipes and flowing water, but explains it poorly. Especially when the discussion of Shannon's limit comes in. It's a simple analogy: bandwidth is the size of your pipe but noise is how clogged that pipe is. A big pipe that's really clogged (high bandwidth, but high noise) may not transmit more water (data) than a small pipe that's squeaky clean (low bandwidth, low noise.
I don't think that their analogy where it showed a large pipe making a clear picture but the small pipe making a noisy picture explained this well.
I also think they could have made it clearer that Shannon's equation gives the limit of how much data you can send given a certain bandwidth and signal to noise ratio, but not a guarantee. It's signal processing researchers and engineers that create methods of communication that approach that limit for different applications. They don't seem to draw the right lines between signal processing and computer engineering, since once the internet enters your computer the signal processing part is basically over and it's hardware and computer engineering from then on out.
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Hatori
If you ever wanted to learn DSP but the rigorous math in many other books turns you off, get this book: The Scientist and Engineer's Guide to Digital Signal Processing By Steven W. Smith, Ph. D. You can read it online for free (dspguide. com. I found DSP quite overwhelming too as a CS undergraduate, but the author did a great job explaining many concepts with just enough math I needed to implement into a program.
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If you ever wanted to learn DSP but the rigorous math in many other books turns you off, get this book: The Scientist and Engineer's Guide to Digital Signal Processing By Steven W. Smith, Ph. D. You can read it online for free (dspguide. com. I found DSP quite overwhelming too as a CS undergraduate, but the author did a great job explaining many concepts with just enough math I needed to implement into a program.
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Raymond
-_. one of the most-bizarre effects of 'information theory' is that frequent not-using the band is, the data-bit information, e. g. if data results in signal modulation '00' or '11' then only half-the-bandwidth is being used for those instants, and that's statistically 50% of the time, and further '000' or '111' is even less-use, etc. _-
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-_. one of the most-bizarre effects of 'information theory' is that frequent not-using the band is, the data-bit information, e. g. if data results in signal modulation '00' or '11' then only half-the-bandwidth is being used for those instants, and that's statistically 50% of the time, and further '000' or '111' is even less-use, etc. _-
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Raymond
-_. old-fashion analogies. example how would you put several FM signals in the same band and discriminate them by tracking each signal amplitude and slope vs too-much-slope and too-much-amplitude, vs the bandwidth of the information itself. _-
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-_. old-fashion analogies. example how would you put several FM signals in the same band and discriminate them by tracking each signal amplitude and slope vs too-much-slope and too-much-amplitude, vs the bandwidth of the information itself. _-
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Miles
I wonder how LCDs and. any technologically advanced system is actually manufactured to work with everything. Like how do they make liquid crystals interact with the rest of the phone or any device to give output
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I wonder how LCDs and. any technologically advanced system is actually manufactured to work with everything. Like how do they make liquid crystals interact with the rest of the phone or any device to give output
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Julio
Shannon's BITs don't stand for Binary Digit! It Stands for Binary Information Unit! Related, but conceptually different: Representing a number, or representing an information physical quantity.
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Shannon's BITs don't stand for Binary Digit! It Stands for Binary Information Unit! Related, but conceptually different: Representing a number, or representing an information physical quantity.
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subscribes
I love DSP! Im studying electrical engineering and would love to do dsp stuff but i think I may have to get a masters. I just want to work already lol
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I love DSP! Im studying electrical engineering and would love to do dsp stuff but i think I may have to get a masters. I just want to work already lol
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Micah
DNA contains information. Information only comes from an intelligent mind. Thus an intelligent mind, far beyond that of humans, created DNA.
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DNA contains information. Information only comes from an intelligent mind. Thus an intelligent mind, far beyond that of humans, created DNA.
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DragoniteSpam
If anyone likes thinking about the complexity that goes into all of these things, xkcd 676 -abstraction- is pretty great.
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If anyone likes thinking about the complexity that goes into all of these things, xkcd 676 -abstraction- is pretty great.
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Daniel
-I might be a little biased, but I think that's pretty darn cool-
Okay, I'll try to adjust the DC offset to de-bias you.
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-I might be a little biased, but I think that's pretty darn cool-
Okay, I'll try to adjust the DC offset to de-bias you.
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