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Wavelets and Multiresolution Analysis

  Рет қаралды 138,788

Steve Brunton

Steve Brunton

Күн бұрын

This video discusses the wavelet transform. The wavelet transform generalizes the Fourier transform and is better suited to multiscale data.
Book Website: databookuw.com
Book PDF: databookuw.com/...
These lectures follow Chapter 2 from:
"Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz
Amazon: www.amazon.com...
Brunton Website: eigensteve.com
This video was produced at the University of Washington

Пікірлер: 99
@nayeemshekh5414
@nayeemshekh5414 4 жыл бұрын
Dear Steve, Your lectures give very clear and good visual realization of the contents. Thank you very much. it is the best video in this context I have experienced. (y)
@Eigensteve
@Eigensteve 4 жыл бұрын
Many thanks!
@tylervandermate6818
@tylervandermate6818 Жыл бұрын
This is possibly the best educational series on any topic I have ever encountered. I just got your book, and I trust it'll be amazing too. Thank you!
@ATXMEG
@ATXMEG 4 жыл бұрын
OMG, feeling excited!!!!! yesterday I tried a time-frequency analysis based on a complex mother wavelet. I appreciate the time and effort for these great lectures! :)
@Eigensteve
@Eigensteve 4 жыл бұрын
Wonderful!
@enzolescure5833
@enzolescure5833 6 ай бұрын
Your videos saved my internship, thank you
@enzolescure5833
@enzolescure5833 6 ай бұрын
Biologist here, I needed to understand image processing, your videos are very clear, thank you.
@glenyeldho5782
@glenyeldho5782 4 жыл бұрын
Finally wavelets🔥
@s.l5787
@s.l5787 4 жыл бұрын
Thank you for this, always wanted to know more about wavelets!
@Eigensteve
@Eigensteve 4 жыл бұрын
Glad it was helpful!
@Rekn0s
@Rekn0s Жыл бұрын
Thank you! I`ve been reading scientific papers on the application of the Wavelet Transform for neural spike sorting, and this video made It all come together.
@peterhall6656
@peterhall6656 2 жыл бұрын
Really good overview. I recommend Ingrid's 10 Wavelets and Stephane's book A Wavelet Tour of Signal Processing. Ron Coifman and Yves Meyer have made massive contributions as well. Someone who has studied Fourier theory and functional analysis will appreciate the technical details of wavelet theory which impacts a lot of techolofy behind the scenes.
@pavybez
@pavybez 2 жыл бұрын
Super high quality educational content in all of your videos (from your playlist), with the right balance of math and intuition to learn every topic. Highly recommended. Great exposition that keeps you engaged and good progression of topics using nice short videos.
@firmrobot
@firmrobot 3 жыл бұрын
I guess there is a small error in 6:33. Bigger "a" will actually make psi function wider and smaller in amplitude. The analogy with Gaussian function would be its standard deviation, which is placed in the denominator of negative exponent. Great lectures otherwise. Thanks for your work!
@RupertBruce
@RupertBruce 2 жыл бұрын
Yes, corrected @8:50
@NocturnalJin
@NocturnalJin Жыл бұрын
Love your lectures. Thank you. Just wanted to point out that JPEG used DCT, but close enough in this situation I suppose. Glad they went to wavelet. It almost seems like magic to me. That and error diffusion.
@brendawilliams8062
@brendawilliams8062 Жыл бұрын
A clear and direct approach to make sense of the idea. Thankyou
@sheffielddu4803
@sheffielddu4803 3 жыл бұрын
this is a fantasitic lecture. you vividly clearify what is wavelet from perspectives both of math and human sense
@arpsami7797
@arpsami7797 4 жыл бұрын
very very new to all this wavelet stuff, but I could get a very good basic idea of it. plus your English was very clear and easy to understand for me, a non-English speaking
@wdobni
@wdobni Жыл бұрын
nice orderly lecture with minimal hysteria and stammering and with good english diction.....i'm not math inclined so its interesting to see people who are fluent in math and who give the impression that math has flow and continuity and some kind of mental image structure......we as a culture are mostly not math oriented and most people find higher math to be quite foreign............i wish as a 6 or 8 year old in grade school we had immediately commenced with calculus math and began each day with doing an integral followed by 2 derivatives and then fleshing out the algebra and geo-trig around the nucleus of calculus.......i wish entire mornings were devoted to cutting up curves into miniscule paper rectangles and adding them up to find the area we always leave the hardest subjects to the very last.....we should start with the hardest subjects first at age 6 when the brain is most plastic and elastic and absorbing every new idea like a sponge.........then many people would be more mathy.
@AntiProtonBoy
@AntiProtonBoy 4 жыл бұрын
Great lecture series. Love the presentation style.
@ahmetkoraysonal5841
@ahmetkoraysonal5841 2 жыл бұрын
Steve .You are a legend teacher. ı havent seen before as you.Thank you very very much this expilaniton
@alonhoresh520
@alonhoresh520 2 жыл бұрын
THE best basic lecture on the subject, Thx !
@luli2246
@luli2246 Жыл бұрын
thank you sooooo much. I was so confused about this theory. After your Video I can finally understand well. Thank you
@hoaxuan7074
@hoaxuan7074 3 жыл бұрын
The intermediate calculations of the Hadamard transform are very wavelet like. You can pick the one with highest magnitude, remove it, and make consistent all the calculations. And repeat. In such a way you can make quite a good compression algorithm. The FFT can be your friend that way too I suppose.
@michaelschichta3880
@michaelschichta3880 4 жыл бұрын
Awesome video, very informative. I am learning about this subject at the moment. It was very confusing for me to make a destiction between the "actual" wavelet transform, the continous WT, the discrete one and then the decomposition. Would have appreciated this video even more if you mentioned this aswell. This is just me, i got so overwhelmed when looking into wavelets for the very first time. Otherwise, spot on!
@hormozsafari9492
@hormozsafari9492 3 жыл бұрын
The explanation was complete. so much dear Steve
@amybergue2891
@amybergue2891 8 ай бұрын
Nicely presented. Really beautiful! Thanks!
@erickappel4120
@erickappel4120 4 ай бұрын
You have the gift to teach complicated stuff effectively! Question: Do you have a good source for the inverse wavelet transformation?
@faisalalessa8961
@faisalalessa8961 2 жыл бұрын
What an amazing explanation. Great job, and thanks!
@D1llsta
@D1llsta 3 жыл бұрын
Keep doing this stuff, you're good at it! Helped a bunch, thanks.
@mahanstyle376
@mahanstyle376 3 жыл бұрын
8:43 why is it psi(a=1/2, b=0), not b=-1/2? This is maybe an error. Also in the second function the shift is b=+1/2. you put a lot of effort into you video. Of couse it can happen that one or another error occurs. Your videos are great and help a lot of people.
@Youshisu
@Youshisu Жыл бұрын
well, I though it should be a=2, and b=1 :D
@yobabadakong8137
@yobabadakong8137 8 ай бұрын
Very informative, thank you
@Annelouise-e7i
@Annelouise-e7i 3 жыл бұрын
Obrigada por esse video! Estava precisando!
@cxrrt
@cxrrt 2 жыл бұрын
Thanks for this nice introduction.
@GiiWiiDii
@GiiWiiDii 3 жыл бұрын
Absolutely awesome. Thank you so much for your content!
@arash4232
@arash4232 10 ай бұрын
Thanks!
@GeoffryGifari
@GeoffryGifari Жыл бұрын
are there upper bounds on the highest frequency of wavelet? what are the highest a's and b's?
@brodiga
@brodiga 4 жыл бұрын
Thank you very much for your informative and inspiring videos. You presentation style is great too. Can you please do a video about how to do an interactive presentation mixing slide show and real time talking.
@foxbat296
@foxbat296 3 жыл бұрын
Beautiful explanation !!
@GeoffryGifari
@GeoffryGifari Жыл бұрын
what are the a's and b's that we can use in the wavelet?
@stefanhiemer751
@stefanhiemer751 4 жыл бұрын
Thanks for your efforts! Can you also make a lecture about the use of wavelets in pdes? I think they are really interesting due to their (sometimes) N-scaling behaviour and variable choice of boundary conditions.
@GeoffryGifari
@GeoffryGifari Жыл бұрын
are there constraints on what kind of waves can be used as mother wavelet?
@rubetz528
@rubetz528 3 жыл бұрын
I came here for a lucid explanation of wavelets, but wow! Do you actually write backwards?
@alfredomaussa
@alfredomaussa 4 жыл бұрын
Hi, I'm just a curious student, lately have been studiying Deep learning, and i'm asking myself if there are some wavelet transform that could preserve the main information of image (compressed) of different sizes and then use a fixed size on different basis to feed a neural network. I tried it with FFT2 and it appear that keep the main information in the corners. maybe there are some wavelets that keep it in the center. Just curiosity.
@batoolalhashemi1167
@batoolalhashemi1167 Жыл бұрын
really good explanation big thanx😃
@nr7507
@nr7507 5 ай бұрын
At 8:35 when you say the signal goes from +1 to -1 only in the left half can you please explain? It looks like you are squeezing the signal from +1 to 0
@alfredoalarconyanez4896
@alfredoalarconyanez4896 2 жыл бұрын
Thank you very much, this was very clear !
@tomcat5467
@tomcat5467 2 жыл бұрын
بسیار عالی و زیبا ممنون
@ajit_edu
@ajit_edu 3 жыл бұрын
A very nice explanation. I am following most of your videos and have learnt from these. However at 6.39, as scale (a) increases, fequency decreases, so should not as a increases, it should be directed downwards to lower frequencies ? Please excuse me if I have missed something.
@riddhamsadana3282
@riddhamsadana3282 2 жыл бұрын
This was very helpful.
@mohammedalaamri3447
@mohammedalaamri3447 3 жыл бұрын
Nice!Well explained!
@istvantamasjozsa308
@istvantamasjozsa308 3 жыл бұрын
The Haar mother wavelet (mathworld.wolfram.com/HaarFunction.html) starts from 0 and returns to 0 like every every other mother wavelet. Nevertheless, the explanations hold. Great video!
@manishbhanu3107
@manishbhanu3107 3 жыл бұрын
thanks for such explanation
@029rahultiwari3
@029rahultiwari3 Жыл бұрын
Sir can you help how to solve pdes using wavelet transform method..
@m.ai.chi.22.
@m.ai.chi.22. 4 жыл бұрын
Thank you for your lecture Finally wavelets, is there any way to relate wavelet coefficients to energy in terms of dB, like can we do some sort of relationship between fft and wavelets to get the corresponding energy in terms of dB for wavelet coefficients.
@sebastianbejarano350
@sebastianbejarano350 3 жыл бұрын
I'm gonna call it "The sombrero" from now on.
@osmantahir8659
@osmantahir8659 Жыл бұрын
Great Videos Love It. Awesome. Is there any Daubechies Wavelet videos from you? Or any video lectures you can please share it
@YashGupta-ro8gq
@YashGupta-ro8gq 11 ай бұрын
Hi Steve, The Haar wavelet transform of order n can transform data of length 2^n . How can we apply a Haar wavelet transform on data of length 12?
@aaronlin8785
@aaronlin8785 2 жыл бұрын
You are my Hero
@bryanchannell7715
@bryanchannell7715 Жыл бұрын
I never whent to college but can allways understand stuff like this ... I wonder if I should go tho 🤔
@TheRubencho176
@TheRubencho176 11 ай бұрын
It's incredible that you could understand these concepts without formal education, you are privileged. Definitely you should consider going to college, you would find mentorship, and you would be exposed to a great amount of ideas. With those tools, you could make a great contribution, for sure.
@SuperMaDBrothers
@SuperMaDBrothers Жыл бұрын
How does the camera perspective work?!
@santhuathidi5987
@santhuathidi5987 3 жыл бұрын
Hello sir, how to thresholding wavelet coefficients by higher order statistics (skewness, kurtosis)
@m.ai.chi.22.
@m.ai.chi.22. 4 жыл бұрын
Lecture on SPOD would be nice, I don't find any information on them in your books 🤓
@Eigensteve
@Eigensteve 4 жыл бұрын
I would love to cover this, because then I would have a good reason to learn it better. On the list.
@qilinwang5889
@qilinwang5889 Жыл бұрын
@@Eigensteve I would love to see this as well. I come across an article explaining that the SVD of a Hankel matrix has direct interpretable physical meanings related to space-time POD, but I find the jargons too difficult for someone who have no exposure to fluid dynamics to understand.
@wesleytaylor-rendal5648
@wesleytaylor-rendal5648 2 жыл бұрын
Completely unrelated to subject matter! Could you explain ring? I always thought righthand wedding ring was a Germanic/Russian European thing, whereas Anglos & italians wear rings on their left hand. Unless this is a signet ring of the intelligentsia.
@electronicstutorialsandtel97
@electronicstutorialsandtel97 2 жыл бұрын
Sir please send your wavelet transform playlist link
@thilagararockiam8164
@thilagararockiam8164 2 жыл бұрын
Can you make one video on TQWT ?
@edmonda.9748
@edmonda.9748 2 жыл бұрын
Thanks Steve for excellent video,Quick question, is the DWT and its inverse a unique mapping? I mean is there an absolute one-to-one correspondence between the signal and its transform? Thanks
@Eigensteve
@Eigensteve 2 жыл бұрын
Thanks! Yes, this is a unique and invertible mapping.
@science_engineering
@science_engineering 3 жыл бұрын
is it correct to say that wavelets are used for nonstationary/highlynonstationary signals?
@WaveCFD
@WaveCFD 2 жыл бұрын
Great presentations... What tool are you using for creating the videos?
@chanochbaranes6002
@chanochbaranes6002 2 жыл бұрын
So cool
@TheBauwssss
@TheBauwssss 4 жыл бұрын
I understand this, and I can follow quite well (I think); I suppose it is not that difficult? But then all the weird characters, names (psy, wtf?) and I suppose mathamethical notation is added and it becomes difficult beyond my wildest dreams. When I close my eyes and listen I 100% understand, but then I look at what he writes down and I am so, so lost. The pictures make sense, but the text and equations might as well be in Chinese. To clarify: my mental concept of what he just explained is in no way, shape or form reconcilable with what he's written on the board. Am I stupid? I don't understand not understanding 🤯
@lorenzo121191
@lorenzo121191 3 жыл бұрын
wait...does he write backwards?
@markcao6056
@markcao6056 3 ай бұрын
Dr Brunton's hair parts right in real life (the Clark Kent look). But in these videos, his hair parts left (like Superman). Does this answer the question?
@dauntul
@dauntul 2 жыл бұрын
Your explanation of what the Haar wavelet is was misleading. Its support is [0,1] and the transition from 1 to -1 happens at 1/2. This is very different that what you described
@rohitv1310
@rohitv1310 2 жыл бұрын
Is there any code for this? Please send the link if anyone knows
@ming-yuanyu5597
@ming-yuanyu5597 4 жыл бұрын
Can we also use wavelet transforms to solve PDEs?
@MdSarfaraz-ig8oo
@MdSarfaraz-ig8oo 6 ай бұрын
Are you writing backwards SIr ?
@danielhoven570
@danielhoven570 4 жыл бұрын
Hello! are you familiar with Jonathan Regele's work (From U of Iowa? I believe) in wavelet driven CFD meshes?
@michaelkayser4194
@michaelkayser4194 Жыл бұрын
I'm sorry, the video is amazing, but are you writing in mirror image? I mean what... how...?
@fedorzhdanov6085
@fedorzhdanov6085 2 жыл бұрын
Is he writing a mirrored version for himself, so we can see it normal? :)
@TheaHFrancis
@TheaHFrancis 4 жыл бұрын
this is awesome, thank you!
@leonard-riccardowecke2773
@leonard-riccardowecke2773 3 жыл бұрын
just perfekt
@saulbernalgonzalez7724
@saulbernalgonzalez7724 3 жыл бұрын
How did he record this video?? Anybody knows? It's like a mirror or something like that, isnt it?
@MinhTran-wn1ri
@MinhTran-wn1ri 3 жыл бұрын
I read an article from University of Washington that Steve Brunton was left-handed. In the video, it appears as though he's writing with his right hand. He could have trained himself to write in reverse with his right hand but I think it's also possible for the video to be digitally altered (mirrored) after recording. Imagine you were standing behind him as he drew a straight line from left to right (i.e., the normal direction English is written in) onto a transparent (glass) surface. You'd observe that the line was drawn left to right. Now if you were to stand behind the glass surface, you'd observe the line drawn right to left. Imagine you magically turned into a camera and recorded what you saw behind the glass surface. With the video recorded, you're then able to 'mirror' every frame and end up with this recording. Steve would still be writing comfortably with his left hand. You can verify this with an experiment. Use a transparent plastic container, sharpie, and a smartphone (with a front-facing camera). Place the camera inside the plastic container and have it record video (as you would if you were taking a video selfie). Write normally on the outside wall of container that's being recorded. If you look at the video, you'd see that the "world" looks normal but the text you wrote looks reversed. Now, the i-phone allows you to play back your video with each frame flipped across a vertical. If you do that, the *text* appears normal but the "world" looks reversed (which is fine -- we don't care that Steve is left handed!).
@saulbernalgonzalez7724
@saulbernalgonzalez7724 3 жыл бұрын
@@MinhTran-wn1ri you are totally right
@obli7788
@obli7788 4 жыл бұрын
Please, can I know which kind of software do you use for creating your video
@obli7788
@obli7788 4 жыл бұрын
for the interactive visuel contents
@michaelschichta3880
@michaelschichta3880 3 жыл бұрын
Can someone explain me why it is so important, that the basis-functions are orthogonal?
@Cancellator5000
@Cancellator5000 3 жыл бұрын
I think this is a complicated question. It's probably similar to why it's good to find a basis where the basis vectors are orthogonal to one another in linear algebra. A non-orthogonal set can still span the space, but there are advantages in being able to interpret the coordinates if they are independent of one of another. In spectral techniques this may lead to functions that express independent information about the frequency content of whatever data you're looking at. For the fourier transform the cosines and sines at a specific frequency are orthogonal to those at another frequency and that means the information about the frequency content at each frequency is independent of the frequency content at any other frequency. I don't know if that's a great answer, but that's my understanding of it.
@hunterliu4901
@hunterliu4901 3 жыл бұрын
The sines and cosines are an orthogonal basis under an inner product defined by integrals. This is great because it allows us to use Graham Schmidt to find the coefficients of basis vectors! If they weren’t orthogonal, we wouldn’t be able to do this
@TheNormMan
@TheNormMan 3 жыл бұрын
I'm wondering, if he really writes mirrored, or just mirrored the Video
@lorenzo121191
@lorenzo121191 3 жыл бұрын
if it was mirrored you would see him writing from left to right, so I think he actually writes backwards, which is crazy *o*
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