Title | : | The Most Important (and Surprising) Result from Information Theory |
Lasting | : | 9.10 |
Date of publication | : | |
Views | : | 95 rb |
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woah that’s nuts Comment from : @ericc6820 |
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Your channel is excellent Extremely instructive and the videos are clearly thought out really well Comment from : @joaopedromarrey5477 |
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My instinct was that we should be able to do much better than what you initially suggested by using something like a checksum for credit cards The problem is that just tells you the message is wrong, not how to retrieve the correct one Comment from : @Cowtymsmiesznego |
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I assume the flip probability is randomand not fixed with Boolean switches brthis creates the error, chancebryour scrambling the message ( slightly ) , not hiding itbrcreates a receiver errorbrcause the flip is not a fixed switchbrbryou would need to use like a roller, on an enigma, and flip with a algorithmbrand create "fake" noise Comment from : @findstrs-hi-c_w |
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What happened DJ? You quit on us? No new vids in four months! 😐 Comment from : @Daniel-Six |
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You have all the exact same mannerisms as the channel “Whaddo You Meme” 😂 Love the video! Comment from : @marcusaragnos1041 |
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Shannon invented relu! Comment from : @alleycatsphinx |
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Just stumbled upon your channel, you’re amazing dude Comment from : @losthalo428 |
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Same reason why it’s possible to encode frequencies up to half of the sample rate He was a brilliant guy Comment from : @davecool42 |
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Great but can you fix the " that has gad an "? Comment from : @grumpyoldman1257 |
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Thanks! Comment from : @iamr0b0tx |
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4:43 - But, this is the crux of the problem! Comment from : @bazoo513 |
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To quote my PhD supervisor, Prof James L Massey: "Do Communication Engineers Need Information Theory? - Not unless they want to understand what they are doing and to be at the forefront of future advances in communications!" Comment from : @HufiVideo |
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Seems like it's because 05 is actually the highest error rate, if you're using flips as errors At 10 you're just reversing the message Comment from : @kdhlkjhdlk |
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I dimly remember Huffman code Is that an example of the coding methods mentioned in this video? If yes, it would have been helpful to mention it Comment from : @jamesraymond1158 |
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Excellent So many speakers throw graphs out without properly explaining the axes Not here! Comment from : @jamesraymond1158 |
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I vaguely remember (from studies at college) something about using XOR to detect data errors Comment from : @JesseGilbride |
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Google’s ads have made YouTube virtually unwatchable The advertisers who have signed up for this subterfuge are totally despicable Comment from : @wertherquartett |
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I heard it You must have had a noisy channel Try again, and good luck Comment from : @timothyallen6411 |
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Can you please do a video on Reed Solomon encoding? Comment from : @karldewet5393 |
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ב''ה, 🪑 Comment from : @josephkanowitz6875 |
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Great video! Btw your mic is picking up occasional plosives from your voice at very low frequencies and these are booming quite loud on a decent sound system with a subwoofer Comment from : @meowsqueak |
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Sorry but i learned nothing from this video Waste of time Comment from : @garcipat |
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what is your degree/scientific background? Comment from : @tokajileo5928 |
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Can you please suggest me best books for learning binary or digital systems in general? The books I have don't do a good job at motivating the concepts and explaining them in a "rediscoverable" manner Comment from : @pizzarickk333 |
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Love your videos! Comment from : @LeoDaLionEdits |
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This isn't a result, it's just a lecture Comment from : @khatharrmalkavian3306 |
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I was about to say in the beginning “but the noise floor…” Comment from : @Blueyzachary |
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Wow This video did not feel like 9 minutes long Amazing work Comment from : @mattshnoop |
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Combination of mnim graphics and real life footage looks unusual for me Comment from : @Avokadik13 |
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In italian accent 🤌"Galois o' here buddy" Comment from : @supercompooper |
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Honestly, I was expecting a more exponential-looking curve Is this a simplification? Isn't there any more effective error correction codes than the one used in the paper? I understand that it's not about the exact coding techniques, still can't wrap my head around on how they managed to neglect it The paper should make it clear, i guess Comment from : @ЯСуперСтар |
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Cool video! At the right time too as I'm working on MDS now Comment from : @sanchopanza9907 |
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I didn't understand the "trick" Could anyone explain to me? Comment from : @OhInMyHouse |
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This is so cool! Comment from : @General12th |
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thank you! love from india Comment from : @pappu10714 |
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The quality of these videos is getting better and better Keep up this great work! Comment from : @nikoskonstantinou3681 |
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Nice video! For readers who are interested in machine learning, there is a nice (but distant) analogue of this for binary classification Suppose you are asked to build an AI that classifies whether an image is that of a cat or a dog What is the best error rate that you can get? Turns out it is independent of the size of the dataset! Comment from : @MuniSreenivasPydi |
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Great Video! :) Comment from : @actualBIAS |
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Great channel, I like to watch your videos after work but always find them a bit too quiet Maybe it's something with my hearing Comment from : @jakubbelicki5755 |
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i expected you to explain how the encoding works 😢 Comment from : @tommasobanfi8133 |
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Great video! What's your background, by the way? Seems like you've maybe done a PhD in this kind of thing? Comment from : @marcevanstein |
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channel capacity reaches its minimum 0 when f is 05 and maximum 1 when f tends to 0 Also it would be interesting to see whether the line between achievable and non achievable is linear after channel capacity Comment from : @lqlaliut897 |
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MacKay's book is brilliant I used it extensively in grad school I love that all the lectures are online Comment from : @rcoatney_maths |
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Error correcting codes? Comment from : @mohammedbelgoumri |
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