A real human being with real contribution to the humanity. I will always respect him as my professor. I learned a lot from him.
@NNCCCC639 жыл бұрын
All hail. No man living can make linear algebra more appealing and accessible .
@ashimhaque9 жыл бұрын
I completely agree.
@matrixate8 жыл бұрын
...except for Gilbert Strang.
@thomaselder40767 жыл бұрын
truth
@KrazyKittyTailz7 жыл бұрын
I agree! Purdue's Math Dept still uses his 'Linear Algebra & Its Applications' text for MA 511, which I took for MSECE then (Signal Processing, of course).
@malebitsatimbuktu33526 жыл бұрын
This man has actually explained the whole telecommunication course in less than 10 minutes
@grantsmith36533 жыл бұрын
I’ve never heard anyone describe the difference between pure and applied math so kindly and gently. Gil is the best
@MathShala1010 Жыл бұрын
Joy and pain of pure and applied mathematicians is explained beautifully...
@dr.zoidberg98449 жыл бұрын
Prof. Strang, always explain in a simple way, the best
@ashimhaque9 жыл бұрын
He is the best. He has my utmost respect.
@kerburettor28902 жыл бұрын
WHY ARE YOU EVERYWHERE ON THE INTERNET DR. ZOIDBERG???
@alesiaguyton5183 жыл бұрын
Cool lectures like u and AhmadBazzi should be awarded :)
@movahediacademy90177 жыл бұрын
This guy's linear algebra videos helped me such that I only missed one problem out of 30 on my linear algebra final. It helped alot!
@masoudmahmoudi306810 жыл бұрын
A great mathematician of this era
@madtrade9 жыл бұрын
Gilbert Strang is the GOD of teaching. I love that man
@woosix77353 жыл бұрын
Gil strang is the most legit professor ever! Keep rocking!
@Signalprocessing-c8y4 жыл бұрын
he is a great professor in the field of linear algebra and mathematics
@yosepinpetrapurbanugraha25346 жыл бұрын
Impressive explanation about mathematical behind signal processing.
@macrubit9 жыл бұрын
The lines on his shirt illustrate what he is saying
@thryce822 жыл бұрын
He seems extremely chill in all of his recordings. Also its nice that he isnt stuck on the whole pure math applied math culture war. I would like to think most mathmeticians are not. But the few ive met at you definitely are. Small sample size though.
@volkerblock7 жыл бұрын
Important for foreign ears: clear accent, well understandable, a benefit compared to other lecturers.
@flashbaq235 жыл бұрын
Seriously
@sanjogh7779 жыл бұрын
Best teacher I ever had..
@chopnchoopn135 жыл бұрын
MIT is the world. Thank you Prof. Gilbert
@ChengHeWu5 жыл бұрын
time passes so fast, I like this professor, thank you so much !
@maumauguz9 жыл бұрын
I hope someday to be ableto to go to MIT and have classes with this professor :D
@ashimhaque9 жыл бұрын
I wish you all the best.
@hugabee2580 Жыл бұрын
Thank you for your time and effort
@luizfnetto.036 жыл бұрын
Amazing, thanks for sharing your knowledge!
@youre100right37 жыл бұрын
Wavelets - better for sudden changes Sinusoids (Fourier Transform) - better for smooth changes
@itsalwayssunnyingoa29636 жыл бұрын
I learned more in this 10 mins than every engineerimg lecture i attended in college
@malebitsatimbuktu33526 жыл бұрын
You're not alone. I actually hated my engineering course until I watched this video
@Mohamed-zo6so9 жыл бұрын
Mr Strang mit best algebra teachers
@thomaskim53944 жыл бұрын
Should address him as Professor Strang or Dr. Strang.
@yudinuransyah7065 жыл бұрын
Can someone tell me how wavelets works ?? I really want to study this object cause this function so magnificent
@stearin19788 жыл бұрын
Best teacher!
@allandogreat5 жыл бұрын
Great people, learned linear algebra from him
@marufhasan93656 жыл бұрын
The man, the legend.
@arin258955 жыл бұрын
prophet of knowledge.
@IlyaKutukov8 жыл бұрын
Great lection
@thevoid1417 жыл бұрын
He is the best
@robertw29307 жыл бұрын
around 6:00 is he explaining pixelization?
@foolhunter65096 жыл бұрын
No he is talking about block transform coding artifacts. The uncompressed image is divided into blocks before transformation into the frequency domain; these blocks are individually transformed (using a cosine transform for old-style jpeg). The edges of each block in the spacial-domain compressed image are often visible as discontinuities in the image: these are the 'blocking' artifacts mentioned in the video.
@argiletonne6 жыл бұрын
I can't tell if he's kidding or not he keeps winking.
@D3tyHuff6 жыл бұрын
Notice how while he is explaining what a signal is, he is giving us an example too by giving signals with his left eye.