mckero
828fd0fb6f
The history box appeared to delete text. Audio leaving the 20 s live window is decoded into the archive only once a full 15 s batch has accumulated, so until then its characters were in neither place: not in the live decode, which had scrolled past them, and not in the history, which had not seen them yet. Measured on a 20 WPM timeline, the concatenated transcript held at 40 characters from t=24 s to t=34.5 s - eleven seconds of no growth - then jumped to 70 when the batch flushed. Up to 30 characters sat in that gap. Reading it as deletion is reasonable; the text really was missing from the box. The pending batch is now decoded too, on the same 1.5 s cycle as the live window, and shown as a provisional tail after the committed text. The final archive decode replaces it, having the whole batch for context. The transcript is monotonic afterwards: +3 characters every cycle with no stalls. Decoding each 100 ms capture chunk instead would have removed the gap entirely but measured 14x the inference load - over 250% of one core across ten minutes - and a chunk that short carries under two dot-lengths of context, so the decode would be poor as well as expensive. One extra inference per redecode cycle costs 24.7% against 18.3%. Discarding buffered audio drops the provisional text with it, since that text describes audio that no longer exists. Committed text stays: it was correct for audio that really was archived.
Look4Sat: Satellite tracker
Radio satellite tracker and pass predictor for Android, inspired by Gpredict
Track satellite passes with ease!
Thanks to Celestrak and SatNOGS you have access to over 9000 active satellites.
You can search the entire database by NORAD Catalog Number or the satellite's name.
Orbital positions and passes are calculated relative to your location.
To get reliable data make sure to set the station position via the app Settings.
The application is built using Kotlin, Coroutines, Jetpack Compose and Navigation.
It is now and always will be completely ad-free and open-source.
Main features:
- Predicting satellite positions and passes for up to 10 days
- Showing the list of currently active and upcoming satellite passes
- Showing the active pass progress, polar trajectory and transceivers info
- Showing the satellite positional data, footprint and ground track on the map
- Custom TLE satellite data import is available via Three Line Element .txt files
- Offline first: calculations are made offline. Weekly TLE data update is recommended.
License
The Look4Sat application code is licensed under the GNU General Public License v3.0.
The CW decoder in feature/cw bundles the DeepCW
neural decoding model, licensed under the GNU Affero General Public License v3.0 only
(AGPL-3.0-only). Because the combined work incorporates an AGPL-3.0 component, the
combined work is distributed under the
GNU Affero General Public License v3.0 — GPL-3.0 Section 13 permits the
combination, and AGPL-3.0 Section 13 applies to the combined work as a whole.
Model provenance and attribution are documented in
feature/cw/licenses/NOTICE.md; the original GPL-3.0
text is preserved at feature/cw/licenses/Look4Sat-GPL-3.0.txt. The CW model runs
locally on-device and does not provide services over a network.