This was seriously great!! I needed to quickly recollect the fundamental concepts about wavelet decomposition and thanks to your video now I feel to have everything at my fingertips again. It was extremely effective and it feels so good, I could not be more grateful for this... thank you so much!
I've been looking for good, understandable videos on the Fourier and Wavelet transforms for so long, glad to finally find your videos! Keep up the great work!
I do hope you are alright and are doing fine. Your video was amazing at making something so complex simple. I'm using wavelet analysis for my undergrad thesis and I was hoping to get a really good grasp at it. Thank you so much for helping me. Again, I'm praying everything is good on your end, healthwise, family wise and in all regards. God bless.
another way the logarithmic change in resolution is useful is that even if the bass plays 16th notes, the transients will all be contained in the higher range of the spectrum, the main way the lower frequencies will be affected by each impact is a slight variation in pitch more than amplitude, therefore we're pretty much detecting exactly what's important at each energy level. Can't wait to figure out the proper math to impliment this in max.
Around 3:35 you said that some scientists believe that our brains use something like wavelets to interpret music, do you have any reference for that? Couldn't find anything
Excellent video on wavelets! Your examples are very good. The jump into the jargon was a little rough, for someone experienced only with Fourier analysis, but I was able to hang on, especially with the excellent illustrations.
Hurray, and someone has just done it in simple terms. Thanks a bunch. please, can i get a video for explaining all those mathematical jargons. L2(R), MRA and Filter Banks. etc. i find them somewhat complex in various literature
Respected Sir, VERY NICE EXPLANATION. Tan Q So much. If possible to give some problems about continuous and discrete Wavelet Transforms. If it will be happened, I am very happy.
Hi, I have a question about wavelets: I want to analyse power system fault currents with wavelet. when I use 1-d wavelet toolbox, d1 to d5 coefficients are in the same time scale and I can for example find the value of each coefficient in a specific milisecond like 2.05. but when I use "wavedec and detcoef" in my mfiles, the d1 to d5 coefficients are not in the same x axis time scale. for example if my wave exported from PSCAD be a matrix of 1000 samples, d5 will be 500 samples, to d1 will be 20 samples for example. and they cannot be synced plotting together finding all coefficients in a certtain x axis like time, which is being plotted automatically in 1-d dwt toolbox. so whats wrong with my understanding or using of wavelets? thanks
Great! i need to help how to know "which" wavelet use, i use db1 on my thesis, i tried to use others for my denoising application, but the result is the same.
+Angel Camacho could you please tell me which software and functions you use for denoising? I'm confused because of the number of packages in R and too many wavelet related functions in MATLAB.
Thanks for explaining following confusing terms in simple language:
0:24 : compact support
2:40 : high-scale = low-frequency
5:18 : vanishing moments
6:38 : Regularity
Waiting for the next video - 2019 April
The best tutorial about wavelets that I've ever seen.
Excellent explanation, Dr.
This was seriously great!! I needed to quickly recollect the fundamental concepts about wavelet decomposition and thanks to your video now I feel to have everything at my fingertips again. It was extremely effective and it feels so good, I could not be more grateful for this... thank you so much!
Waiting for the next video. July 2020 - middle of The Pandemic.
I don't think there can be a better video on such a typical concept. Million likes !
I've been looking for good, understandable videos on the Fourier and Wavelet transforms for so long, glad to finally find your videos! Keep up the great work!
this is the bset vedio of wavelet transform I've ever seen, thanks! I am also waiting for your next vedio!
Thanks for this video, very helpful for a newcomer to wavelet transforms
The best explanation that I have ever seen on FT!
I've been trying to understand these for years, I finally get it.
This is an awesome explanation... please put the next one.....
Hey, it's not too late for that second video :p
still waiting for the next video
Still no follow-up video :'(
Have you found any other good video series on wavelets?
I do hope you are alright and are doing fine.
Your video was amazing at making something so complex simple. I'm using wavelet analysis for my undergrad thesis and I was hoping to get a really good grasp at it. Thank you so much for helping me.
Again, I'm praying everything is good on your end, healthwise, family wise and in all regards.
God bless.
This is awesome, looking forward to your next video on DWT. Cheers!
Excellent explanation. Make more videos!
Excellent Explanation and slides... please continue.
Thanks a lot, Simon. Very nice and elegant explanation. Go ahead for further struggling concepts and topics.
Yes , please post more videos in detail about wavelets relating subspaces in L2(R) , MRA and Filter Banks... Doing great job
I hope this guy's alright and just got too lazy to finish this amazing series... and that someday he gets back to it
He moved to China in 2006 after he got his PhD from Wayne State University in Detroit. He's a guest professor in the Wuhan University now.
Demigod !!!! Crystal clear explanation
I'm also still waiting for the next video, you give nice explanations
subscribed, waiting for the next video
Amazing.... I wish Strang could be this clear throughout the entire book. Please pick this up again!
thank you so much....i have been searching this explanation for a long time
Thanks, great explanation.
another way the logarithmic change in resolution is useful is that even if the bass plays 16th notes, the transients will all be contained in the higher range of the spectrum, the main way the lower frequencies will be affected by each impact is a slight variation in pitch more than amplitude, therefore we're pretty much detecting exactly what's important at each energy level. Can't wait to figure out the proper math to impliment this in max.
thanks for the next video, - quarentine 2020
Great explanation! That was very clear. Thank you!
Excellent explanation!
4:30 the defining moment of the foundation of wavelet transform.
Waiting for your next video on DWT.
This is a great explanation.
amazing video
Superb
Terrific. Is there any chance you can post some more videos regarding wavelet transform perhaps with some mathematical examples? Thanks a lot.
Nick Tsui sure, Camacho092@gmail.com
we want how we are going to apply on an image(pixels).please let us knoe
Around 3:35 you said that some scientists believe that our brains use something like wavelets to interpret music, do you have any reference for that? Couldn't find anything
Great video! @3:34 the y-axis should state scale resolution instead of frequency resolution.
Excellent video on wavelets! Your examples are very good. The jump into the jargon was a little rough, for someone experienced only with Fourier analysis, but I was able to hang on, especially with the excellent illustrations.
I am looking forward for your next haar wavelet video. Let me know if u uploaded it. Thanks😊
Great video, thanks.
This videos is very good, Sir please upload next video
Thank you, nice approach
Thank you very much, very well explained.
Hurray, and someone has just done it in simple terms. Thanks a bunch. please, can i get a video for explaining all those mathematical jargons. L2(R), MRA and Filter Banks. etc. i find them somewhat complex in various literature
Yeah man great way to get someone hooked to find out there is no future video?
I want that second video now!!
thank you for your excellent explaination. However, at the end of this video you mentioned Daubechies Wavelet video which is not available on youtube
Respected Sir,
VERY NICE EXPLANATION. Tan Q So much. If possible to give some problems about continuous and discrete Wavelet Transforms. If it will be happened, I am very happy.
when is the nex video coming out?
Great explanation! thank you!
Brilliant video ! Would it possible to provide some source or book where I can find these information, I wanna use this for writing my thesis...
Hey dude awesome video !!
please come back!?
Thanks! This was really helpful!
Waiting next part April 2021
that was beautiful
Hi, I have a question about wavelets: I want to analyse power system fault currents with wavelet. when I use 1-d wavelet toolbox, d1 to d5 coefficients are in the same time scale and I can for example find the value of each coefficient in a specific milisecond like 2.05. but when I use "wavedec and detcoef" in my mfiles, the d1 to d5 coefficients are not in the same x axis time scale. for example if my wave exported from PSCAD be a matrix of 1000 samples, d5 will be 500 samples, to d1 will be 20 samples for example. and they cannot be synced plotting together finding all coefficients in a certtain x axis like time, which is being plotted automatically in 1-d dwt toolbox. so whats wrong with my understanding or using of wavelets? thanks
Still looking for the second vid
Thanks again!
The next Video must be a Hollywood super high-quality production because it takes so long. - 2020 April
Fuck I was looking for the Haar and Daubechies video so much
You are a genius. I subscribed.
Never done that to anyone :p
Looking for the next video ---- June 2020
More sound please. This is almost unhearable on a smartphone with volume at maximum
I am still waiting for the next video.
So where is the next video? ;-)
mmmm where is the next viceo??? O_O
4:03 *Laughts in djent*
what does longer support mean for vanishing moments ?
Next video Please!!!
Where did you disappear to?
march - 2021 - waiting for part 2
Great! i need to help how to know "which" wavelet use, i use db1 on my thesis, i tried to use others for my denoising application, but the result is the same.
+Angel Camacho could you please tell me which software and functions you use for denoising? I'm confused because of the number of packages in R and too many wavelet related functions in MATLAB.
Hello, I'm using matlab, I recommend you use "wavedemo" and select the 1-D, is really very very easy
***** Thank you so much. I will try now...
Angel Camacho Can i have your email ID. I am working on wavelets..
Name is wrong, I think this should be great introduction to wavelets
How do you do these animations
Just awesome ...
2nd video?
Thumbs up
Still waiting for the next video
Next video link plz
How much for that 2nd video? c'mon please
4:04 Indeed almost never: Vulpeck - Deantown: th-cam.com/video/3ruXOh74xRE/w-d-xo.html
Waiting for the next video - 2024 December
aweome video bt pls use better microphone pls thanks!
I had to study wavelets for my studies but never understood anything lol.
Great Video, but way to quiet
SPEAK UP!
wtf, english please