Wavelet Based Denoising of 1-D Signals using Python

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  • Опубликовано: 2 ноя 2024

Комментарии • 5

  • @davesabra4320
    @davesabra4320 2 года назад

    beautiful. thanks again Prof Verma
    the only bug (I had) was the signal array and noise array had different shapes. In case any other students experience this the fix was reshaping the noise array to have the same dimensions as the signal array but zero padded. Then you can add the noise to the signal. Then carry on and remove it.

  • @MrHaggyy
    @MrHaggyy 2 года назад

    At min 4 after the inverse DWT you write f'(k) but say f(k).
    I asume it's just a typo.

    • @exploringtechnologies9
      @exploringtechnologies9  2 года назад +1

      When u cut some dwt coefficients then obviously signal obtained after idwt cannot be same as input, that's why it is f'(k).

    • @MrHaggyy
      @MrHaggyy 2 года назад +2

      @@exploringtechnologies9 oh ok with f`(k) i stuck with derivatives.
      But now it`s clear to me, thank you!

  • @fastchill
    @fastchill Год назад

    BEWARE OF LOUD NOISE AT 19:30