mckero
6a62f951ad
DeepCW 是整段 CTC 批处理模型, 不能像传统 DSP 那样逐样本流式输出。 实测否决了滑动窗口+增量拼接方案。整段批处理 CER 0.0%, 而所有窗口/步进 组合最好仅 67.6%, 最差 294.1% (呼号被重复三遍)。根因是模型每获得更多 上下文就重写已输出内容 —— 同一音频逐渐加长时 11 次采样有 6 次修正前缀 (BM -> BG7 -> BG7NTI -> BG7NTA), 任何"只追加增量"策略都会把这些中间态 永久留在屏幕上。 改为: 固定 20 秒滚动缓冲 + 每 1.5 秒重解全量 + 整体替换显示。 参数由实测定案, 是两条约束的交点: - 准确率侧: 20s 是达到 0.0% CER 的最小窗口 (16s 仍有 5.9%) - 算力侧: 耗时超线性增长, 60s 音频推理耗时约为 20s 的 13 倍, 实时余量 不足; 20s 时余量约 13 倍, 安全 实现: 环形缓冲, snapshot() 返回按时序展开的副本 (调用方无法污染内部 存储), append() 返回是否该触发重解。 验证: ./gradlew :core:domain:test --tests '*CwDeepBufferTest*' => tests="10" skipped="0" failures="0" errors="0" 含断言: 容量封顶、最旧样本先丢、环绕后时序正确、超容量分块只留尾部、 重解间隔不漂移 (150 个 100ms 分块恰好触发 10 次)、snapshot 不共享内存
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.