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.
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.
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.
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
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.
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! 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
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!
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 !
This is awesome, looking forward to your next video on DWT. Cheers!
The best explanation that I have ever seen on FT!
this is the bset vedio of wavelet transform I've ever seen, thanks! I am also waiting for your next vedio!
Thanks a lot, Simon. Very nice and elegant explanation. Go ahead for further struggling concepts and topics.
The best tutorial about wavelets that I've ever seen.
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.
Yes , please post more videos in detail about wavelets relating subspaces in L2(R) , MRA and Filter Banks... Doing great job
Great explanation! That was very clear. Thank you!
Hey, it's not too late for that second video :p
Thanks, great explanation.
thank you so much....i have been searching this explanation for a long time
Amazing.... I wish Strang could be this clear throughout the entire book. Please pick this up again!
Excellent Explanation and slides... please continue.
I've been trying to understand these for years, I finally get it.
I'm also still waiting for the next video, you give nice explanations
still waiting for the next video
Still no follow-up video :'(
Have you found any other good video series on wavelets?
Thanks for this video, very helpful for a newcomer to wavelet transforms
This is a great explanation.
Thank you very much, very well explained.
Great explanation! thank you!
Thanks! This was really helpful!
I am looking forward for your next haar wavelet video. Let me know if u uploaded it. Thanks😊
Excellent explanation!
Demigod !!!! Crystal clear explanation
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.
This is an awesome explanation... please put the next one.....
thanks for the next video, - quarentine 2020
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.
Great video, thanks.
You are a genius. I subscribed.
Never done that to anyone :p
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
4:30 the defining moment of the foundation of wavelet transform.
Waiting for your next video on DWT.
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
Thank you, nice approach
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.
thank you for your excellent explaination. However, at the end of this video you mentioned Daubechies Wavelet video which is not available on youtube
Excellent explanation. Make more videos!
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 !!
subscribed, waiting for the next video
that was beautiful
This videos is very good, Sir please upload next video
amazing video
what does longer support mean for vanishing moments ?
Yeah man great way to get someone hooked to find out there is no future video?
Thanks again!
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
Superb
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.
Next video Please!!!
Great video! @3:34 the y-axis should state scale resolution instead of frequency resolution.
I want that second video now!!
How do you do these animations
Still looking for the second vid
when is the nex video coming out?
More sound please. This is almost unhearable on a smartphone with volume at maximum
2nd video?
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
Waiting next part April 2021
please come back!?
Fuck I was looking for the Haar and Daubechies video so much
mmmm where is the next viceo??? O_O
I am still waiting for the next video.
Name is wrong, I think this should be great introduction to wavelets
Thumbs up
Looking for the next video ---- June 2020
Just awesome ...
The next Video must be a Hollywood super high-quality production because it takes so long. - 2020 April
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..
So where is the next video? ;-)
march - 2021 - waiting for part 2
Still waiting for the next video
Next video link plz
4:03 *Laughts in djent*
Where did you disappear to?
aweome video bt pls use better microphone pls thanks!
Great Video, but way to quiet
How much for that 2nd video? c'mon please
I had to study wavelets for my studies but never understood anything lol.
4:04 Indeed almost never: Vulpeck - Deantown: czcams.com/video/3ruXOh74xRE/video.html
SPEAK UP!
wtf, english please