Texture Classification using Wavelet Scattering Transform (with MATLAB Code)

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  • Опубликовано: 9 янв 2025

Комментарии •

  • @sunitaverma5352
    @sunitaverma5352 4 месяца назад +1

    Super explain

  • @nikeetakurrey4376
    @nikeetakurrey4376 4 месяца назад +1

    Very good explanation

  • @manmohan7151
    @manmohan7151 4 месяца назад +1

    Nicely explained

  • @kdas4029
    @kdas4029 4 месяца назад +1

    Nice Video

  • @ushas3349
    @ushas3349 3 месяца назад

    Sir, Thank you for all your videos. Your explanation is very good. I follow all your series(control system as well as wavelet). Can you briefly explain how you got 7 matrices of 391 X 7 as SWT coefficients? 7 is 1+ 6 rotations ? is is due to down sampling of the image? Please give your calculation for 7 x 391 x 7. It would help me understand the concept better. Thank you once again.
    Usha

    • @exploringtechnologies9
      @exploringtechnologies9  3 месяца назад

      Yess...Down sampling is done.
      Foe more details, watch my previous video on wavelet scattering transform.

  • @Dhanyas_vlog
    @Dhanyas_vlog 3 месяца назад +1

    Sir I want build a website which takes real time gestures and gives the description of that gesture shown , maybe like google lens ,can u guide me on how to do it

    • @exploringtechnologies9
      @exploringtechnologies9  3 месяца назад

      First learn and implement AI based gesture recognition and integrate that in a website.

  • @mohamadhamoudy8232
    @mohamadhamoudy8232 4 месяца назад

    Dear Professor , please could you kindly explain how to use wavelets for classification of ecg signals and another for classifying Audio files , thanks and best regards

    • @exploringtechnologies9
      @exploringtechnologies9  4 месяца назад

      Go through my previous videos in channel and find the video related to ECG classification.

  • @allaeddinehamdani3168
    @allaeddinehamdani3168 3 месяца назад

    Could you please explain how to make 1d signal classification using wsn

  • @CurrentAffairByAKThakur
    @CurrentAffairByAKThakur 4 месяца назад

    Sir I want to extract features form the signal by using cwt stft and Wsst ... Can I use some other similar methods for feature extraction who's inverse is also possible ?

    • @exploringtechnologies9
      @exploringtechnologies9  4 месяца назад

      To extract features only, inverse transform is not required. If inverse is needed for some other objectives, then use DWT.

    • @CurrentAffairByAKThakur
      @CurrentAffairByAKThakur 4 месяца назад

      @@exploringtechnologies9 i want to use it for regression problem so that I can revert back the signal into origional form for comparison that's why I was looking for inverse too