What Are Wavelets | Understanding Wavelets, Part 1

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  • เผยแพร่เมื่อ 23 ต.ค. 2024

ความคิดเห็น • 92

  • @yliapis44
    @yliapis44 8 ปีที่แล้ว +133

    Probably the best short and concise explanation of wavelets I have seen, well done

  • @DRibic
    @DRibic 3 ปีที่แล้ว +3

    The best explanation ever... Really professional video. Lecturer doesn't appear professor-like, but give this guy just one minute, and you will see he is the best professor ever. I watched following videos as well. This saves time. In 4 minutes you learn more than reading the same thing in book for 40 minutes, or watching lesser quality video for 20 mins.

  • @senthil2sg
    @senthil2sg 7 ปีที่แล้ว +18

    A lot of thinking and care has gone into the making of this wavelet video series, and it shows. The explanations are clear and to the point. thanks for the post @Kirti Devleker

  • @177raluka
    @177raluka ปีที่แล้ว +3

    Extraordinary! Great respect (university teacher here). I have a lot to learn from your teaching tehniques!

  • @cxrrt
    @cxrrt 2 ปีที่แล้ว +5

    Clear, concise, and straight-forward. Thank you.

  • @AmitrajitMukherjee
    @AmitrajitMukherjee 4 ปีที่แล้ว +10

    This is a very helpful overview for every researcher working on the data analysis. Thank you for this session..

  • @lalitsharmaku
    @lalitsharmaku 7 ปีที่แล้ว +26

    All set in less than 5 min, very well explained.

  • @JanezKrnc-San
    @JanezKrnc-San 7 ปีที่แล้ว +11

    Really professional, clear and informative. Thank you !

  • @davidjames1684
    @davidjames1684 3 ปีที่แล้ว

    This is how to properly teach an advanced topic. Start with the very basics. Very well done sir. Upvoted.

  • @aswathycomm4852
    @aswathycomm4852 4 หลายเดือนก่อน

    CLEARLY UNDERSTOOD SIR. THANK U SO MUCH

  • @sivakandanmani7510
    @sivakandanmani7510 11 หลายเดือนก่อน

    Very precise and well explained. Thank you.

  • @benoitmorel3371
    @benoitmorel3371 2 ปีที่แล้ว

    Never saw such a clever way to describe wavelengths. E
    Well done!

  • @Deepsim
    @Deepsim 2 ปีที่แล้ว

    You explain the concept well clearly.

  • @bhaskartripathi
    @bhaskartripathi 7 ปีที่แล้ว +1

    So Precise yet so clear sir. Thanks !

  • @Truthonlyify
    @Truthonlyify 4 ปีที่แล้ว

    Concise explanation of Wavelet. Good effort.

  • @mutantengineer9229
    @mutantengineer9229 2 ปีที่แล้ว

    This guy is REALLY good!

  • @Khwartz
    @Khwartz 5 ปีที่แล้ว +2

    02:39 - Sorry, shouldn't the graphics of the frequency be shift between up and bottom?

  • @rameshnaidu5007
    @rameshnaidu5007 7 ปีที่แล้ว

    The best introductory video to wavelets.! Thank you very much.

  • @AlexTrusk91
    @AlexTrusk91 4 ปีที่แล้ว +1

    Thanks, exactly what I needed for my artificial vowel project

  • @vanessachristyraja9268
    @vanessachristyraja9268 4 ปีที่แล้ว

    Thank you for your explanation

  • @XxbossdogxX
    @XxbossdogxX 5 ปีที่แล้ว

    What prerequisite knowledge do i need to understand this? I don't really know what you're talking about, but I want to know...
    edit: To clarify, what math concept(s) do I need to learn first? What discipline(s) of math? I've completed basic calculus so far.

    • @aldosalthren
      @aldosalthren 5 ปีที่แล้ว

      This uses a lot of stuff I learned in my signals & systems course (specifically taking a real time signal and putting it in frequency domain with fourier, and function manipulation)

  • @sheilaserrano1039
    @sheilaserrano1039 4 ปีที่แล้ว

    Great, simple and concise!

  • @vinaykumartheyoutuber5386
    @vinaykumartheyoutuber5386 2 ปีที่แล้ว

    Sir I have a doubt . If a wavelet transform is continues means are we perform transformation on continuous time signal or if a wavelet transform is DWT is it means we are performing wavelet transform on Discrete time signals . Please clarify my doubts.

  • @OneOnOne1162
    @OneOnOne1162 4 ปีที่แล้ว

    You explained it way better than my teacher.

  • @shreyaanbajpai2641
    @shreyaanbajpai2641 2 ปีที่แล้ว

    Thank you very much

  • @KoLMiW
    @KoLMiW 2 ปีที่แล้ว

    bless your soul

  • @benjameslari
    @benjameslari 4 ปีที่แล้ว

    Very well explained!

  • @ouraniand
    @ouraniand 7 ปีที่แล้ว

    Thank you very concise . Helped a lot

  • @vamsikrishna1204
    @vamsikrishna1204 5 ปีที่แล้ว

    Ultimate & Excellent presentation on...introduction to the Wavelets..Thank you..Sir

  • @nsakhalkar746
    @nsakhalkar746 7 ปีที่แล้ว

    really easy and precise explaination. thank you.

  • @tomasbjornfot2818
    @tomasbjornfot2818 5 ปีที่แล้ว

    Very good explination

  • @sanjaykrish8719
    @sanjaykrish8719 7 ปีที่แล้ว +2

    Great intro.. Thank you.. Can i know what tool did you use for the animation?

  • @andrestation6754
    @andrestation6754 4 ปีที่แล้ว

    Nice job, thanks for this explanation!

  • @luisantoniobautistahernand1329
    @luisantoniobautistahernand1329 4 ปีที่แล้ว

    Excelent video. congratulations

  • @maniashouri3866
    @maniashouri3866 7 ปีที่แล้ว +1

    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

  • @poonammantry6958
    @poonammantry6958 4 ปีที่แล้ว

    Nicely explained 👍

  • @dwyerfire
    @dwyerfire 3 ปีที่แล้ว

    Why is the equation Ψ(x/s)s=y? This seems to imply that the wavelet is made taller vertically when it is squished together horizontally. Yet your animation doesn't show this happening...
    Am I missing something? Why isn't it Ψ(x/s)=y?

  • @Ladynatalie33
    @Ladynatalie33 4 ปีที่แล้ว

    Great! Thank you so much.

  • @abidsyed9534
    @abidsyed9534 6 ปีที่แล้ว

    Great sir, very nice and simple explanation

  • @ushadiggi6524
    @ushadiggi6524 6 ปีที่แล้ว

    Great Explanation..Thank you....!!!

  • @kikicrwban
    @kikicrwban 7 ปีที่แล้ว +1

    Great introduction! Thank you!

  • @Momonosuke321
    @Momonosuke321 7 ปีที่แล้ว

    Thank you! great introduction

  • @prachiingale3636
    @prachiingale3636 7 ปีที่แล้ว

    Can u tell me exactly wavelet filter. Video was very nice

  • @dwyerfire
    @dwyerfire 3 ปีที่แล้ว

    Also why at 3:00 are we dividing by the sampling interval?

  • @JyotiGupta-gi5ex
    @JyotiGupta-gi5ex 5 ปีที่แล้ว

    What is best between filters and wavelets for denoising

  • @kabonline09
    @kabonline09 4 ปีที่แล้ว

    very good ..gettig interested

  • @Khwartz
    @Khwartz 6 ปีที่แล้ว

    Hello. Very Well Donne for the Clarity and Simplicity of your lesson! (y) (y) (y)

  • @dylanschellenberg8617
    @dylanschellenberg8617 4 ปีที่แล้ว +1

    OMG best wavelet explanation... bae .... 😍 😍 😍 😍

  • @mk-qk9wy
    @mk-qk9wy 7 ปีที่แล้ว

    very good.I enjoyed

  • @bandiashok8445
    @bandiashok8445 7 ปีที่แล้ว

    From that time -scale representation how we will obtain the frequency of our given signal??

  • @eiliannoyes5212
    @eiliannoyes5212 6 ปีที่แล้ว

    Fantastic! :) Many thanks!

  • @vineetverma6645
    @vineetverma6645 5 ปีที่แล้ว

    So wavelets help get the localization aspect into creating a given signal.

  • @nackyding
    @nackyding 7 ปีที่แล้ว

    Thank you.

  • @anandkrishnan1996
    @anandkrishnan1996 7 ปีที่แล้ว +3

    whiich will be good for emg signals either fourier r wavelet transforms

  • @claudiodipietro9489
    @claudiodipietro9489 5 ปีที่แล้ว

    Vevvlets ! thanks mate !

  • @pmcate2
    @pmcate2 4 ปีที่แล้ว

    I don't understand how wavelets circumvent the problem arising from the sine waves oscillating for infinite time and space. Aren't those wavelets composed of infinite sine waves?

  • @rodrigopinto27
    @rodrigopinto27 5 ปีที่แล้ว

    amazing

  • @chrispapad1021
    @chrispapad1021 4 ปีที่แล้ว

    Amazing!!!

  • @bhavikbolya3737
    @bhavikbolya3737 4 ปีที่แล้ว +2

    how high are you????
    Great video for post weed high!!!

    • @sharvilpk2030
      @sharvilpk2030 4 ปีที่แล้ว +1

      Don't like your own comments.
      420

  • @blenderm4n
    @blenderm4n 7 ปีที่แล้ว +1

    Dumb question here - what does ψ mean in 2:15 ?

    • @EneaColombo
      @EneaColombo 6 ปีที่แล้ว

      Stuntkoala it's just a letter wich represents the signal. like the letter f stands for function in analysis.

  • @anandtiwari2906
    @anandtiwari2906 5 ปีที่แล้ว

    Good morning sir,
    i wnat to pdf formate of wavelet transform and wavelet cosine transform and its application .
    please provide me because my exam is near.

  • @vigneshsanjeevi3530
    @vigneshsanjeevi3530 6 ปีที่แล้ว

    Please Explain contourlet wavelet Transform

  • @dukhuhembram9737
    @dukhuhembram9737 3 ปีที่แล้ว

    Can we have a wavelet of single frequency!!??

  • @simonbernard4216
    @simonbernard4216 6 ปีที่แล้ว

    OMG I want that swaggy MathWorks shirt sooo baaad

  • @MylordVlog
    @MylordVlog 4 ปีที่แล้ว

    How to get elliot wave automated software plz suggest anyone

  • @Abou47Pandas
    @Abou47Pandas 5 ปีที่แล้ว +7

    If the public actually cared about Wavelets, they would be outraged that there is a wavelet called the "Mexican Hat". Actually funny.

    • @blablabla12a
      @blablabla12a 4 ปีที่แล้ว

      We live in a truly cucked society

  • @ignmario
    @ignmario 7 ปีที่แล้ว +1

    how to define j for scaling?

  • @robertlake2753
    @robertlake2753 6 ปีที่แล้ว

    Hey could you try this software? Encounter: 'Circuit Solver' by Phasor Systems on Google Play.

  • @rajdeepsingh1662
    @rajdeepsingh1662 6 ปีที่แล้ว

    At this time their subs and view of this video are equal

  • @eileenzhang8112
    @eileenzhang8112 7 ปีที่แล้ว +2

    几乎每句话都值得记笔记,讲的很好,可是没有人觉得他口音太太太重了吗,好多单词听了几十遍也听不懂 是我英语太差了?。。。

  • @Indian_history_and_Traditions
    @Indian_history_and_Traditions 7 ปีที่แล้ว +1

    Nice presentation! But the person, why so serious :/ :P

  • @mateodalmolin4865
    @mateodalmolin4865 2 ปีที่แล้ว

    I love my dear friend

  • @skipperinoagadmatorino5788
    @skipperinoagadmatorino5788 2 ปีที่แล้ว

    I love India

  • @knowledgegatherer142
    @knowledgegatherer142 4 ปีที่แล้ว

    vavelets

  • @math_engine_pro5082
    @math_engine_pro5082 ปีที่แล้ว

    are you an Indi?

  • @BohdanTrotsenko
    @BohdanTrotsenko 4 ปีที่แล้ว

    There's something better for signal analysis.
    (Disclaimer: I have invented one).

    • @riskyrisk663
      @riskyrisk663 4 ปีที่แล้ว +1

      So what's the better method? Post a link or something to your work ...

    • @BohdanTrotsenko
      @BohdanTrotsenko 4 ปีที่แล้ว

      @@riskyrisk663 thanks. I have a number of demo videos right on my channel; more on trotsenko.com.ua
      I currently demo it talk about it, but not disclose it yet.

  • @arpithaachaiah7155
    @arpithaachaiah7155 6 ปีที่แล้ว

    Your explanation is too fast

  • @mssgsai
    @mssgsai 7 ปีที่แล้ว

    complete bullshit HE IS LOOKING LIKE A ZOMBIE