#44 An intuitive introduction to oversampling and noise shaping

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  • Опубліковано 12 вер 2024

КОМЕНТАРІ • 14

  • @Corredor1230
    @Corredor1230 11 місяців тому +4

    I'm a professor of A/D conversion at a local university and was really struggling to explain the sigma-delta converter to my students. This video and the park track example gave me a great method to teach it more intuitively! Thank you for this!

  • @tanmayvadhera4250
    @tanmayvadhera4250 Рік тому +6

    This was excellent !

  • @Parirash123
    @Parirash123 10 місяців тому +2

    Fantastic analogy of oversampling. Loved it. I'm wondering where was this video all these days.

  • @PrashantBabu-k6t
    @PrashantBabu-k6t 2 місяці тому

    Such a simple ad brilliant way to explain oversampling! Thank you for this video sir.

  • @Ayouska
    @Ayouska Рік тому +3

    Thank you for the explanations. Could you upload more videos to explain the Delta-Sigma system in whole? I read many papers; but I'm still confused.

  • @tarunvarma3323
    @tarunvarma3323 6 місяців тому +1

    Very intuitive and great explanation

  • @srijanisallyouneed
    @srijanisallyouneed 5 місяців тому +1

    ❤ Thanks a lot Sir...Ive read many books+journals for SD ADC but, u explained in such a lucid way....Can U. Give more insight to how should we design Decimation Filter? Should We use a LPF at output to reduce noise? What is the role of Delay z^-1 block they r talking about in book ?? Why PSD of output is needed??

  • @starplayer9525
    @starplayer9525 8 місяців тому +1

    Very nice and simplified explanation

  • @malashis
    @malashis 9 місяців тому +1

    WoW ❤

  • @premkotagi4325
    @premkotagi4325 4 місяці тому

    with reference to 09:01 how did the average of 3 0's and 7 1's turned out to be 0.7 sir ?

  • @pikulsarkar7537
    @pikulsarkar7537 Рік тому +2

    The height measurement is not oversampling. It is taking multiple samples and averaging to reduce noise. Walking around multiple times without resetting is oversampling but not noise shaping. For noise shaping we need some feedback which is not happening here.

    • @analogsnippets
      @analogsnippets  Рік тому +3

      Pikul, In my understanding that is also oversampling. Taking multiple readings and then averaging. For example we sometimes take multiple readings from a SAR ADC and then average it out. It helps to reduce thermal noise. Can you give me an example of just oversampling to make your point clear?

    • @analogsnippets
      @analogsnippets  Рік тому +3

      Also, walking multiple times without resetting is indeed first order noise shaping. Feedback here is implicit because we are feeding the error of last cycle into the next cycle.