mckero
4b835bac5c
Background:
The CW decoder previously shipped a decompiled copy of the proprietary
Morse Expert 1.15 (com/ve3nea/morse_expert + obfuscated classes,
libnativedecoderjni.so, suncompat black-magic) — a copyright liability.
This removes all of it and reimplements the decoder on the open-source
fldigi (GPL v3) CW engine as a faithful pure-Kotlin port with no JNI.
Changes:
- Delete all Morse Expert reverse-engineered code: MainActivity,
obfuscated packages (B/B0/D/E2/...), suncompat/, pas/nativedecoder,
armeabi-v7a libnativedecoderjni.so, and the original View-based layouts
(activity_main, cw_panel_main, options_menu).
- Add a full fldigi CW pipeline in core/domain/cw:
- CwFldigiDsp: NCO down-conversion, FFT filter, movavg constants
- CwFftFilt: overlap-add FFT band-pass filter (fftfilt port)
- MorseTable + SomTable: full Morse code table + SOM codebook
- CwFldigiDecoder: decode_stream AGC + hysteresis, state machine,
adaptive speed tracking (5-55 WPM), SOM winner/normalize matching
- Rewrite CwDecodeScreen as pure Compose (DeepCW-style waterfall,
live decode line, history, status cards) and CwSettingsDialog
(speed/bandwidth/SOM) with no View interop.
- Replace the Morse Expert panel in TransceiversPage with a Compose
panel driving the same decoder; mic capture at 8000 Hz.
- Drop the forced armeabi-v7a abiFilters now that no native lib exists.
Verification:
- 8 unit tests pass (CQ/HELLO at 18-20 wpm, A-J at 30 wpm with
adaptive tracking, dot/dash/Farnsworth edge cases) — all decode
correctly from synthesized CW.
- :feature:cw and :feature:radar compile; app assembleDebug succeeds.
- APK contains no ve3nea/nativedecoder/morse_expert classes.
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.