Life would be so much better when they teach about applications before dry theory as motivation. I am very thankful for these amazing videos.
@Eigensteve
3 жыл бұрын
Couldn't agree more!
@toastrecon
4 жыл бұрын
When I was 10, I got up early on a Saturday for the Smurfs. Now, I get up early for Sparsity. No commercial interruptions. All that's missing is some Lucky Charms.
@TheMazyProduction
4 жыл бұрын
For me it was spongebob how it’s generative models.
@matveyshishov
2 жыл бұрын
Thank you so much, Steve! You're connecting the practical implementations with the underlying math incredibly seamlessly, almost a work of art!
@ATXMEG
4 жыл бұрын
Many thanks indeed for providing such great lectures and sharing it with us. :)
@shanesteinberg8161
4 жыл бұрын
Thank you Steve. Your KZitem videos are a great balance of accessibility of quick bite-sized concepts without the lowering of discussion to menial examples.
@andrezabona3518
4 жыл бұрын
Omg, I'm completely in love for signals because of you!! Hope doing something cool soon with all this!
@MaksymCzech
4 жыл бұрын
Thank you for the video, great as usual
@koukous95
Жыл бұрын
Thank you very much for these amazing and well detailed videos, I'm actually working on my Master's degree thesis about cognitive radio and these videos helped a lot in the compressed sensing chapter!
@nahashonosinde9163
4 жыл бұрын
Thank you Professor Steve. Just what I was looking for! Your tutorials have helped me in my masters in Control engineering, and this new series is a helping hand at the start of my PhD.
@ShashwatPandeyindia
4 жыл бұрын
Dear Steve... your lectures are a blessing. Thank you so much 🙏
@sat1915
Жыл бұрын
You just made it super interesting. Hats off.
@sumant9189
4 жыл бұрын
Thanks professor.
@mosaicspark2372
4 жыл бұрын
Holy shit man, I just discovered your channel and it feels like I have found a gold mine! There are soo many useful videos that I don't even know where to begin. Is there any way to support your work so you can continue creating this wonderful content? Patreon, Paypal, Donations?
@andersonsen1989
4 жыл бұрын
Thank you so much for the lectures!
@brandonwilson8115
4 жыл бұрын
Just out of curiosity, are you writing backwards, or are you flipping the image with software? Very interesting and effective video making setup.
@SridharNag
3 жыл бұрын
same here, even i would like to know the same
@yosily
2 жыл бұрын
I had the same question
@mehrabzamanian581
2 жыл бұрын
Useful and concise
@kidconnitv9774
3 жыл бұрын
What a time to be alive!
@kane_8t
6 ай бұрын
Man u look like HG Wells from flash series ....luv ur videos ❤
@SRIMANTASANTRA
4 жыл бұрын
Hi Professor Steve, Thanks for the nice idea shear with us.
@symbolxchannel
3 жыл бұрын
Dimensionality reduction is simply awesome!
@lucaborgese96
3 жыл бұрын
Thank you very much
@Eigensteve
3 жыл бұрын
You are welcome
@msoulforged
4 жыл бұрын
<a href="#" class="seekto" data-time="450">7:30</a> When the metalhead in you kicks in \\m// :) One question, what is a quantitative measure of sparsity? Like how much percentage of elements should be zero to count a matrix as sparse?
@commonwombat-h6r
4 жыл бұрын
love those lectures
@Victor-dh5us
3 жыл бұрын
Thank You !
@JoaoVitorBRgomes
4 жыл бұрын
Obrigado, Steve! Things make more sense now.
@dixshants1227
Жыл бұрын
Thank you for the video! very helpful! is it possible that some basis gives us a more sparse result than others? Like here the DFT may give us 10 non-zero entries of a 1mil entry image, but what happens if we use a different transform that gives us 5 or 20 non-zero entries? Does that make a difference and is it in our interest to look for transforms that keep increasing the sparsity?
@prashantsharmastunning
4 жыл бұрын
super super interesting
@zrmsraggot
2 жыл бұрын
Is the the sum of the values in the sparse S 'equals to 100%' like they are the whole values that play a role in the equation ?
@omar_5352
4 жыл бұрын
I just wish this was available 30 years back when I worked on video compression. Great material and well presented indeed. But as far as I recall JPEG relied on DCT, not DFT.
@Andres186000
2 жыл бұрын
I think JPEG may have originally relied on DFT and then was updated to DCT to deal with gibbs phenomena when compressing images with sharp edges
@subhadeepmandal3092
Жыл бұрын
In Tailored Basis what is epsilon r and Vr?
@anangsuwasto8678
4 жыл бұрын
Amazing explanation!! :)
@doctorpoosa
4 жыл бұрын
Thanks for these amazing videos! I really appreciate if you could talk a little bit about L0 norm also. Thank you!
@Garganzuul
4 жыл бұрын
I suspect sparsity and structure might be the same thing. I think that translates to a high degree of linear independence being more informative. Then information is something which is less dependent on circumstance.
@gammygoogur
3 жыл бұрын
for what its worth jpeg uses discrete cosine transform and not discrete fourier transform - awesome vids tho
@miguelfernandesdesousa7784
3 жыл бұрын
steve brunton in 1440p oh my god
@mysterylearning4181
2 жыл бұрын
But how is he writing everything backwards so easily...?
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