The Discrete Cosine Transform

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  • Опубликовано: 13 дек 2024

Комментарии • 8

  • @pepesworld2995
    @pepesworld2995 3 года назад +3

    thanks mate. this is absolutely brilliant stuff. part of the confusion with learning about this stuff is that people either teach a transform in isolation, or they dont describe the actual benefit+difference of one transform versus another. this is really grounded stuff and you've made it practical.
    you sir deserve a slice of cheese cake. and a scone.

  • @samberhanu
    @samberhanu 4 года назад +4

    this guy is the difference between going to a good school to get education vs trying to learn it by yourself because your teacher does not know how to relate material to you. Good job Doc

  • @sebastianamado7758
    @sebastianamado7758 2 года назад

    Excelente, Explicacion clara, sencilla y ordenada. Saludos de Argentina.

  • @youerny
    @youerny 3 года назад

    Error at 1:48. LTI changes Amplitude AND PHASE, and leave frequency unchanged.

    • @sebastianamado7758
      @sebastianamado7758 2 года назад

      ??? the fundamental frequency is not been modified there.

  • @alessandrolima4266
    @alessandrolima4266 4 года назад

    Great explanation !

  • @cpadude123
    @cpadude123 4 года назад

    Is it correct to summarize that DCT is useful over DFT because the DCT is real only, the compression is approximately half the space needed of a DFT which is both real and imaginary?

    • @hansg.feichtinger3379
      @hansg.feichtinger3379 4 года назад

      This is a widely used argument. But you can combine two real images of the same format as real and imaginary part of ONE complex-valued image. Then apply the FFT2 and then decompose the resulting parts...