Mathematics of Signal Processing - Gilbert Strang
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- เผยแพร่เมื่อ 5 ก.พ. 2014
- Source - serious-science.org/videos/278
MIT Prof. Gilbert Strang on the difference between cosine and wavelet functions, audio compression, and the pleasure of seeing the ideas actually used - วิทยาศาสตร์และเทคโนโลยี
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All hail. No man living can make linear algebra more appealing and accessible .
I completely agree.
...except for Gilbert Strang.
truth
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).
This man has actually explained the whole telecommunication course in less than 10 minutes
A real human being with real contribution to the humanity. I will always respect him as my professor. I learned a lot from him.
I’ve never heard anyone describe the difference between pure and applied math so kindly and gently. Gil is the best
A great mathematician of this era
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!
Cool lectures like u and AhmadBazzi should be awarded :)
Gilbert Strang is the GOD of teaching. I love that man
Joy and pain of pure and applied mathematicians is explained beautifully...
Prof. Strang, always explain in a simple way, the best
He is the best. He has my utmost respect.
WHY ARE YOU EVERYWHERE ON THE INTERNET DR. ZOIDBERG???
time passes so fast, I like this professor, thank you so much !
Best teacher I ever had..
Amazing, thanks for sharing your knowledge!
Impressive explanation about mathematical behind signal processing.
Gil strang is the most legit professor ever! Keep rocking!
MIT is the world. Thank you Prof. Gilbert
The lines on his shirt illustrate what he is saying
he is a great professor in the field of linear algebra and mathematics
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.
Thank you for your time and effort
Best teacher!
Important for foreign ears: clear accent, well understandable, a benefit compared to other lecturers.
Seriously
great primer
Wavelets - better for sudden changes
Sinusoids (Fourier Transform) - better for smooth changes
The man, the legend.
Can someone tell me how wavelets works ?? I really want to study this object cause this function so magnificent
Great lection
He is the best
Great people, learned linear algebra from him
I learned more in this 10 mins than every engineerimg lecture i attended in college
You're not alone. I actually hated my engineering course until I watched this video
I hope someday to be ableto to go to MIT and have classes with this professor :D
I wish you all the best.
prophet of knowledge.
Mr Strang mit best algebra teachers
Should address him as Professor Strang or Dr. Strang.
around 6:00 is he explaining pixelization?
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.
I can't tell if he's kidding or not he keeps winking.
ALL HAIL MISTER STRANG
Notice how while he is explaining what a signal is, he is giving us an example too by giving signals with his left eye.