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Daniel Rapp

danielrapp.github.io · Personal blog · on HN since 2014

Daniel Rapp is a developer who builds small browser demos in signal and image processing, including Doppler motion sensing and spectrogram images.

What HN saysHN links it for the Doppler motion sensing demo, which a commenter says is simpler than FingerIO but still interesting, and for the spectroface demo.
15HN people shared it
2linked it in comments
18stories submitted
459story points
5 years agolast shared
2014people per year2026

Most-shared posts

  1. 1
    Motion sensing using the doppler effect
    9 people · 255 points · first shared 2015 · 24 comments on HN
  2. 2
    Recreating the spectrogram face
    3 people · 81 points · first shared 2014 · 19 comments on HN
  3. 3
    Deep Fakes with Just JavaScript
    3 people · 5 points · first shared 2022 · discussion on HN
  4. 4
    Show HN: Morphological image processing
    2 people · 6 points · first shared 2015 · 1 comments on HN
  5. 5
  6. 6
    Show HN: Morphological image processing
    1 people · 38 points · first shared 2015 · 4 comments on HN

What HN people wrote when they linked it

JorgeGT · 2016-06-14
You may be interested in https://github.com/quiet/quiet-js and https://danielrapp.github.io/spectroface/, both encode text / images over audible frequencies, but of course they sound weird. However it is technically trivial to encode "hidden" data at inaudible frequencies (>25 kHz) along with a song/whatever in the audible range and recover the data with a high pass filter. You would have to explain, however, the need for >48kHz sample rate. Another, stealthier option would be to encode information in the background noise of a recording, but this would require more complex encoding/filtering techniques.
aub3bhat · 2016-03-18
This is not same as FingerIO since it does not uses sophisticated signal processing but still interesting. Make sure that you remove earphones before using it. https://danielrapp.github.io/doppler/

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