flasonil/Deep-Neural-Network-for-CS-based-signal-reconstruction-on-STM32-MCU-board
Compressed Sensing signal decoding with DNN oracle on STM32
This project helps embedded systems engineers reconstruct high-fidelity signals from limited data using a neural network deployed on an STM32 microcontroller. It takes compressed signal measurements as input, processes them on the MCU, and outputs the reconstructed signal's sparse coefficients and the full signal, enabling efficient data acquisition. This is ideal for professionals working with resource-constrained devices in signal processing applications.
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Use this if you need to perform compressed sensing signal reconstruction directly on an STM32 microcontroller, leveraging a pre-trained deep neural network for faster and more efficient decoding.
Not ideal if your application does not involve signal processing, compressed sensing, or the use of STM32 microcontrollers for embedded AI.
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16
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3
Language
Python
License
MIT
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Last pushed
Apr 05, 2021
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