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| author | Christian Kolset <christian.kolset@gmail.com> | 2025-11-05 14:30:05 -0700 |
|---|---|---|
| committer | Christian Kolset <christian.kolset@gmail.com> | 2025-11-05 14:30:05 -0700 |
| commit | 6da7dd248a9e6b46cb82f97d82a19f63f145ba75 (patch) | |
| tree | 9a06b0218d29da821a2a979dc82c31749f5c349d /admin | |
| parent | 35555b7bbb746bcd910dd2f42cf937e1f8f04b19 (diff) | |
Added spectroscopy problem
Diffstat (limited to 'admin')
| -rw-r--r-- | admin/meeting-notes/2025-10-13.md | 4 |
1 files changed, 0 insertions, 4 deletions
diff --git a/admin/meeting-notes/2025-10-13.md b/admin/meeting-notes/2025-10-13.md index a191670..79f07fb 100644 --- a/admin/meeting-notes/2025-10-13.md +++ b/admin/meeting-notes/2025-10-13.md @@ -29,7 +29,3 @@ Module 4: Data Analysis and Processing - 4.5. Data Cleaning (linear regression, least square fitting, extrapolation, moving average) -> One Lecture - 4.6. Data Filtering & Signal Processing (filters: Gaussian Filter, Sobel edge detection, Kalman, Butterworth, FFT) -> We need to give a lecture of what is/how it works Digital filter design (lowpass, highpass, bandpass, filter response curves, how does one select a given filter). One lecture all theory so that in the second lecture they learn how to select different filters. -> Two lectures - 4.7 Image processing: apply some of the filtering to make images sharper/crispier, teach them how to make videos/gifs out of images. -> One Lecture. Possible application: **_from CFD density data obtain Synthetic Schlieren images (Ciprian will send you this!)_** - - - -![[20251013_103651.jpg]]
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