mckero
7c22bf6ac1
DeepCW 音频前处理的 Kotlin 实现, 逐步对齐上游 Python 参考实现 (deepcw-engine examples/python/decode_morse.py): 线性重采样 -> 3200Hz, 反射 padding(128), periodic Hann(256), radix-2 FFT, 取 bin [32,97) 共 65 个 (400-1200Hz), log1p 归一化 实现要点: - Hann 窗用 periodic 变体 (numpy np.hanning(N+1)[:-1]), 不是 symmetric, 否则频谱与参考实现有偏差 - 反射 padding 不重复边界样本 (numpy mode="reflect" 语义) - 自带 radix-2 Cooley-Tukey FFT, 不引入第三方 DSP 依赖 (FFT_LENGTH 为 2 的幂, 无需补零分支) - 放 core:domain: 无 Android 依赖, 可 JVM 单测, 保持 KMP 可迁移 模型 400-1200Hz 固定频窗意味着定频内建, 无需频谱峰值跟踪与 squelch 门控 —— 这正是旧内核最大的两个坑。 验证: ./gradlew :core:domain:test --tests '*CwDeepSpectrogramTest*' => tests="8" skipped="0" failures="0" errors="0" 含断言: 700Hz 正弦峰值落在相对 bin 24; 8000->3200Hz 重采样后频率不变
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.