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Build an STM32 Hardware Timebase for DASYLab: Firmware, C++ and Real Host Tests

DASYLab AI Coding

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Build an STM32 Hardware Timebase for DASYLab: Firmware, C++ and Real Host Tests

82 просмотра · 5 дн. назад
DASYLab AI Coding
113 подписчиков
82 просмотра · 5 дн. назад
Build an experimental STM32 hardware timebase for DASYLab, from the NUCLEO-F303RE and its original requirements to C17 firmware, a native C++20 adapter and actual host measurements. This complete engineering walkthrough includes the real first build, board bring-up, explicit wire protocol, a discovered evidence-writer failure, an independently checked one-hour run, FIFO ownership, module lifecycle, the genuine parameter dialog, individual module rights, correct wiring and two-source timestamp comparisons. Recorded development evidence: 22-24 October 2026. The film distinguishes real application recordings, functional board illustrations and reconstructed teaching prompts. Held frames are labelled. The demonstrated result is an experimental prototype. Physical HSI calibration, physical USB unplug, a real foreign timebase-ID collision and the broader host/language/display/Black Box matrix remain open. Two later runtime aborts have no established historical cause; clean repeats are not presented as a fix. Opening: DASYLab AI Coding Made in GDR, International Morse at 20 WPM PARIS / 650 Hz. English narration: AI-generated Sarah voice, speed 0.85. English, German and Russian subtitles. CHAPTERS 00:00 A hardware clock for DASYLab 02:33 The board and the original contract 05:24 Tools, AI work packages and first bring-up 08:46 Timer, sessions and the wire protocol 12:17 Build and verify the actual firmware 15:08 Find a real failure and survive an hour 17:42 Bridge the board into the native module 21:35 The native dialog, rights and correct wiring 24:23 Measure the real host and preserve the evidence 28:04 Recovery, remaining limits and the complete result SERIES    • Build DASYLab Extensions with AI   PREVIOUS EPISODES Foundation:    • Build Native DASYLab Extensions with AI - ...   4253H filter:    • 4253H in DASYLab: Native AI-Built Filter, ...   Hampel filter:    • Build a Native DASYLab Hampel Filter: Robu...   CHANNEL    / @dasylabaicoding