Increasing demands on military radio communications are making wireless transmissions more complex, requiring robust signal equalization via accurate channel estimation. AI goes beyond the limits of conventional methods, but its integration in an embedded environment is constrained by power consumption and computational cost. This thesis aims to improve an AI-based signal processing algorithm and optimize its implementation for embedded execution without significant performance degradation.
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THESIS DEFENSE of Antoine SIEBERT - April 2, 2025
Antoine SIEBERT will defend his thesis on April 2, 2025 at 10:00 am in the amphitheater JP. DOM of the IMS Laboratory, on the subject: Contribution to the implementation of artificial intelligence algorithms for radiocommunications applications in an embedded context.
