mckero f731775346 fix(cw): repair FFT pipeline (NaN twiddle table + dead cond_22 path)
The waterfall showed mirrored/upside-down garbage because the FFT
never produced a valid spectrum:
1. g3.c.f() (high-precision sin) had its quadrant-0 case mangled by
   jadx into a nested-if that returned NaN for small angles - the
   twiddle factor table ended up with 329/1024 NaN entries.
   Restored the smali switch: case0->g(), case1->c(), case2->-g(),
   case3->-c().
2. i3.d.k() routed the runtime FFT (a5==0, single-thread path) into
   the else of if(a5!=1) instead of if(a5!=0), so the FFT never ran
   and the output stayed in the time domain (peak at bin 357 for a
   669Hz tone instead of bin 86).

Verified with a JVM harness (static-block tables + pure-tone inputs):
200Hz->bin26, 400Hz->bin51, 669Hz->bin86, 1000Hz->bin128, all exact.
Twiddle table NaN count: 329 -> 0.
2026-08-04 06:55:03 +00:00

Look4Sat: Satellite tracker

Look4Sat CI

Get it on Google Play Get it on F-Droid

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.

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Readme GPL-3.0
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Kotlin 79.6%
Java 20.4%