At 8:55 I mention the low frequency components of the signal are resolved with bad time resolution. This is TRUE, however this therefore means they are resolved much better in frequency space. The point is that good frequency resolution is important for resolving low frequencies.

best explanation on wavelets i have found till now...Thanks

Part 2? 😢 This was such a great video, couldn't have asked for a better explanation.

I studied Wavelets to apply for my Graduate Thesis before youtube was even a concept. Thank You for using it for good!

This is a fantastic explanation. I am trying to wrap my head around wavelet analysis for my PhD (I am a Psychology student, this sort of applied mathematics is so foreign to me). But this has been really useful. Thanks so much!

Marvellous! I've been somewhat using an almost-wavelet transform for years without even knowing it lol. Thats because I've always been working on financial econometrics without any engineering background. When I first started, my friends who were working as QC engineers for a propellor manufacturer introduced to me a concept where I could model the cyclic components of the data not just by using variance and correlations, but more importantly, accurately modelling the durations of the periodic cycles. They explained how they can identify defects of enclosed, rotating parts without ever opening them up, and they would be correct every single time. Though, I wasn't really interested in the engineering part because I was too affixed on the concept. So I've been using a complex series of functions in python to do recursive FFT and Laplace transforms at different sliding intervals to capture time-frequency and time-resonance information for time series forecasting. I've always overlooked topics about wavelets without actually knowing how significantly they relate to me. Today, it was totally worth it to look into this subject as this will make my work so much easier. Thanks, whoever you are, keep it up!

this is literally the shortest yet the best explanation I've seen for these methods. Thanks a lot for the great quality of information and amazing explanation.

You did a great job saving many people's life.

YES! THANK YOU SO MUCH. This doesn't feel like black magic anymore.

Mr Andrew Nicoll, im very thankful to you because of this great explanation. I have been trying to understand it since a very long time and finally you have helped me. I need to know this concepts for my thesis, so thank you again!

I'm only halfway through, but this is already the best explanation of a wavelet transform (for image processing) that I've ever gotten. Thank you for a wonderful video.

Magnificent! Please continue posting these videos. Thank you.

Lovely stuff Mr Nicoll, very easy to follow. Thanks for the free education!

What a great visual explanation! Thanks so much.

Best Wavelet explanation ever. Looking forward to your future videos

amazing video, perfect for quick repetition before the exam 💫

That was one of the most easiest explaination on wavelets.. Thanks very much. Please continue your work.

A very well explained video. Thanks Andrew.

This lecture is the best one for beginners! Its animation helps me to understand wavelets a lot. Thanks

Boy this is some explanation! You are a GOAT Andrew! Cheers.

It was a great tutorial of Wavelet Transform. Thank you so much

One of the best explanation for this topic love it totally ❤️

Superb explanation, it helped a lot - thank you!

It's very intuitive, that helps a lot. Thank you for your work!

Hey, it was the best explanation for beginner to have a concept of wavelet transform. Thanks.

You smart cookie 🍪☺️ I can’t wait for the future videos! ☺️

Best explanation so far. 谢谢

Thanks a lot! Very helpful. Waiting for your next video on denoising with DWT!

Great job in explaining the concept! This helped me a lot for my project :)

a very informative and super efficient introduction.

Awesome explanations!

Great video, helped me get a way better perspective and understanding of the Wavelet Transform! Looking forward to future videos.

Many thanks ....the best explanation I have ever seen ...

Can't wait to see your next video on this. This is very useful for my research

Great tutorial, well explained!

The finest and explicit explanation that I have seen! Thank you much, it helped me a lot ❤️❤️ Can you make a video on wavelet packet transform (WPT)? Thanks in advance!

Thanks for the great video! Very helpful/friendly to layman🙂

Amazing explanation! Thank you

Hi Andrew, many thanks for this amazing informative video on the "Wavelet transform". As you mentioned at the end of this video, within the Future Videos, you would cover topics like "Discrete Wavelet Transform, and Multilevel Decomposition". I searched through your page but unfortunately, I wasn't able to find them. Have you prepared those videos yet? If yes, could you please give an access link to them? I need more insight on this topic! I can not thank you enough for providing this information in public.

The video helps me a lot. I need wavelet transform for processing EEG signals. Looking forward to the coming videos!!!!

Wonderfully explained! thanks

Thanks for great explanation......

Thank You . This video cleared my concepts .

Thanks, it's a helpful explanation

Great content and explanation! Finally understood the wavelets via the stft! Only had to set the speed to 1.5x and if you added 3b1b-style visualization it’d gonna be a bomb!

So concise and clear! Plus very good presentation. Thank you!

Nice explanation and great production value! Its really nice to see people putting there hearts into educational videos. At 8:03 you show the formula for the wavelet transform where the wavelet is complex conjugated. That would mean, that you calculate the cross correlation of the signal and the wavelet. This makes sens since you want to find out at which time the wavelet is present in the signal. However at 12:06 when you show the discreet wavelet transform there is no complex conjugate. Did you forget about it or did i get my math wrong?

Very clear and helpful, thanks a lot

The best explanation for a beginner! Thank you so much for making this video Andrew❤️

I didn't hear the sound of this video but I know this video is very useful for beginners like me! Thanks for your uploading!!

Such a good explanation I want remaining videos..

thank u so much for this informative video

Thanks a lot, waiting for the next video.

great explanation

I hated in the beginning, like Fourier again, I'm here for wavelets, but it is actually great, it all now fits in for me, and now I understand STFT despite it sounded exotic. The video is not flashy, even worse black letters on white screen, but it does great job, explanation is just great!

very good video, make my brain rotation. like from China

Thank you a lot for your video. :)

Oh, please follow up with details on the DWT and multilevel decomposition! I am subscribed now

very clear explaination.

very goood explanason , i bhery muchh appre c ate this thanku

I have an exam in 2 hours… i think you safed my bachelor…

Excellent explanation. Would you have a worked example in a spreadsheet to understand the steps?

Thank you :) I hope more videos please :)

Finally got it.🎉

It is really useful, when Does the next video go out?

Looking forward to your next video!

Yes, I need find out more about the use of Wavelet transform, for analog video signal processing, but I need to find a simple cut down way of doing this.

Thanks for this great tutorial ... at the 12:00 mark, in converting from a continuous to a discrete WT, we've lost the complex conjugate of the wavelet function, psi, during the conversion. why is this the case? Also, isn't a CWT/DWT similar to a cross-correlation function between two dissimilar signals, whose maximum represents the peak wavelet coefficient values?

Love from IIT Guwahati

Looking for your video on Denoising.. is it available some where..

Great video, thanks. What about the other parts?

Thank you

Good video

Thanks. So, will you be making the next video about DWT?

Nice Video

Great work, are there more videos ?

very good explanation. Do you have any paper or article published by you so that I reference it

Thanks for the great video, clear explanations for someone like me with a relatively basic background in mathematics. Looking forward to your future videos on this topic. Would you have any recommendations for further reading regarding the background and application of wavelet transforms?

Im the 1.5kth like! YAY! Great explanation! Keep up the great work!

this is great, thank you for making it available. will you upload more videos on wavelet analysis?

This is the best into to wavelets I've been able to find. Very clear and concise, and helpful. Could you please do the follow-up on denoising using wavelets?

What is empirical wavelet transform? please explain

Very nice explanation. Why do we take the complex conjugate of the wavelet? What happened with this?

great video. where is the net video on ecg processing

I would like to know when the video on discrete wavelet transform will come..This video helped me understand what exactly wavelet transform is.

you explained very well. I am Mathematics student want to do research in this topic. for this I have to make research proposal on wavelet and its applications in maths. can you help with this? I dont have any idea about this topic?

can I see your research about ECG

Sir,could you please explain what is frequency resolution and time resolution?

Is there any python library for doing wavelet transform on uneven sampled data

Thank you so much for sharing knowledge. Finaly I've undestood the wavelet transform thanks to you. I would like to apply it on my signal and calculate the new analytic signal for wavelet. I tried to do it on matlab but I have some difficulty. I've used wden function but I got I don't know if it's working well. I don't know how to use parameters. Do you have any suggestions please ? Thank you again !

Hello Andrew, I am working on a similar project on Electroencephalograph (EEG) Signals, would love to be able to contact you and talk to you. Good work with the content.

How to calculate and extract A and D coefficients? Is it A=F-D??

Hello Andrew, I really like your Video. You are really helping me with my work. Do you mind if I use screenshots of your video (e.g. of the boxes) for my work? Of course I would add the source to it. Kind regards from Germany, André

Why was it necessary to introduce the wavelet function instead of just continuing with complex exponent as the basis? Great video!

What is time localisation?

Hi thanks for the wonderful video! Really helps to understand, I was hoping to include some of these details in a report - would it be possible to provide references for the formulas?

Where is your next video?

Part 2 plss

Hey. Dont you have any acces to information about EEG signalsm. Where a problem had been defined and solvdd using wavelet transform?

waiting for the next videos........