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- signals are represantion of the information we're sending
- communication is sending and receiving of signals
- An input transducer converts the sound and light into electrical signals from the camera and microphone
This video confirms this is all witchcraft 😂
ОтветитьYour videos are super quality ! it's so helpful for the comprehension! big thanks
Ответитьdat aussie accent tho
ОтветитьIf 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.
ОтветитьBrilliant! Thanks for the inspiration!
ОтветитьShannon'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.
ОтветитьSo I didn’t learn something new( that’s all was in the 7 form... but i am from Russia. I know absolutely nothing about American schools. Is it a channel for kids or you are going to tell something more difficult in the future? Excuse me for my bad knowledge of English
Ответитьtoo good and very well explained.
Ответить"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.
Waste of the time. Should be called, “ History of Communications”
Ответить...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....
ОтветитьI hope software engineering is next
ОтветитьAt first i thought "What the hell is transjesus?" then i turn captions on and i learned she was trying to say transducers.
ОтветитьI like the original guys. This girl is no fun so it is hard to learn!!!
Ответитьgreat video, well presented. Please put a deesser filter in your audio.
ОтветитьCan you start a category on Hermeticism
ОтветитьShe's so hot, she messed my brain's SNR Margin i couldn't understand a word of she was saying.
Ответить...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...
Ответитьwhat happened to John Green :(
Ответить10 bucks of telegraph message, just to send 'wazzzup"
ОтветитьStudying about communication signals sound pretty interesting ☺☺.
Ответитьis it just me or the sound in this video keep changing from clear to deep to clear?
ОтветитьCan't wait for the marine engineerimg topic! My favorite degree!
ОтветитьIt's even cooler when it transmits someone as nice as you :p
ОтветитьGreat video! Learning can be fun with ten minute videos, so that I can learn but also have time for my actual homework lol
ОтветитьPlease stop cutting out the pauses between (some) sentenses. It is really really really annoying to watch. Thanks.
ОтветитьI 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.
I keep hearing her say "transjesus"
ОтветитьEnter Fourier-Transform
ОтветитьOk but when talking about a signal transmitted by a wire... where does noise come from then?
ОтветитьShe is fine
ОтветитьFor the love of all things Sheldon, FIX THAT SHELF!!!
ОтветитьGood watch. Thanks.
ОтветитьI knew this one!
ОтветитьNow mention of who the presenter is, but she could easily be a Disney Princess.
ОтветитьAll this happens at the speed of light and millions/billions times a second, which is mind boggling
ОтветитьS/N -> signal to noise radio. Haha, not sure if good pun or sincere accident by animator.
ОтветитьIf anyone likes thinking about the complexity that goes into all of these things, xkcd 676 "abstraction" is pretty great.
ОтветитьIf people dislike this why do they even ude the internet? Lol
ОтветитьNEEEERRRDDDDD
ОтветитьThe moment when you realize school has taught you nothing ... Thanks CrashCourse
ОтветитьI 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
ОтветитьDNA contains information. Information only comes from an intelligent mind. Thus an intelligent mind, far beyond that of humans, created DNA.
ОтветитьI 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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