
Claire Xia developed foundational real-time data acquisition features for the Anteater-Electric-Racing/embedded repository, focusing on ADC1 peripheral initialization and periodic sensor sampling. She configured averaging, resolution, and conversion speeds, and enabled interrupt-driven callbacks in C++ to ensure reliable sensor data collection. By wiring a timer to drive periodic conversions, Claire established a workflow that supports responsive, accurate data processing in embedded systems. She also improved repository maintainability by removing extraneous macOS .DS_Store files, reducing build and analytics noise. Her work demonstrates depth in firmware development and peripheral configuration, laying groundwork for robust sensor fidelity and streamlined analytics integration.

January 2025 monthly summary for Anteater-Electric-Racing/embedded: Implemented ADC1 peripheral initialization and periodic sampling to enable reliable sensor data acquisition. Key changes include configuring averaging, resolution, conversion speed, and sampling speed; enabling ADC1 interrupts for a callback; performing a single read on a designated pin and wiring a timer to drive periodic conversions. Also improved repository hygiene by removing a stray macOS .DS_Store placeholder file to prevent noise in builds and analytics. These changes establish a foundation for real-time data processing and cleaner analytics, contributing to sensor fidelity, system responsiveness, and maintainability.
January 2025 monthly summary for Anteater-Electric-Racing/embedded: Implemented ADC1 peripheral initialization and periodic sampling to enable reliable sensor data acquisition. Key changes include configuring averaging, resolution, conversion speed, and sampling speed; enabling ADC1 interrupts for a callback; performing a single read on a designated pin and wiring a timer to drive periodic conversions. Also improved repository hygiene by removing a stray macOS .DS_Store placeholder file to prevent noise in builds and analytics. These changes establish a foundation for real-time data processing and cleaner analytics, contributing to sensor fidelity, system responsiveness, and maintainability.
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