rockyco/peakPicker
A Comprehensive Comparative Study of LLM-Aided FPGA Design Flow
This project compares different ways to implement a 5G signal processing algorithm, specifically a 'peak picker,' onto a specialized hardware chip called an FPGA. It shows how using AI models can help engineers design and optimize these hardware implementations faster, resulting in better performance than traditional methods. Telecommunications engineers or hardware designers working with 5G systems would find this useful.
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Use this if you are a hardware design engineer or telecom specialist looking to implement signal processing algorithms, like a 5G peak picker, on FPGAs and want to explore modern, AI-assisted design flows.
Not ideal if you are not involved in FPGA hardware design or 5G signal processing, as this project is highly specialized for that domain.
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Jul 14, 2025
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