STM32CubeIDE Project: Real-Time Voltage Analysis with FFT and Graph Processing

This project demonstrates the use of ADC (Analog-to-Digital Converter) for real-time voltage readings on an STM32 microcontroller, the CMSIS/DSP math libraries for FFT (Fast Fourier Transform), and further analysis using a custom priority queue and graph structures. The project was developed and built using STM32CubeIDE, and it utilizes both CMSIS and HAL (Hardware Abstraction Layer) libraries.

• ADC Polling: Captures real-time voltage data from the system using the STM32's ADC.
• CMSIS/DSP FFT: Processes the voltage readings using the CMSIS DSP library, performing FFT on the sampled data.
• Priority Queue: Further analysis of the FFT results using a priority queue for peak detection.
• Graph Processing: A graph is constructed from the FFT peaks and valleys, using a bitvector to represent the adjacency list for each vertex.

1. Install STM32CubeIDE: This project is built in STM32CubeIDE. Download and install the IDE from the official STMicroelectronics website.

2. Configure DSP Libraries: Follow the instructions from the ST community article Configuring DSP Libraries on STM32CubeIDE.

3. Include Required Files: Ensure you have the following file from the CMSIS/DSP source:

   • Drivers\CMSIS\DSP\Source\TransformFunctions\arm_cfft_init_f32.c

   This file is included in the project for successful FFT initialization.

4. Build and Run: Open the project in STM32CubeIDE, build, and flash it to your STM32 microcontroller. The project captures ADC readings and performs FFT analysis in real-time.

• FFT Analysis: The project processes 16 real-time voltage samples using a 16-point FFT.
• Graph Representation: Peaks and valleys in the FFT output are represented in a graph structure using bitvectors for adjacency lists.
• Custom Priority Queue: A custom priority queue is used to sort and manage peaks detected in the FFT results.

• main.c: Contains the main logic for ADC sampling, FFT computation, and graph processing.
• adc_init.c: Initialization file for ADC.
• arm_cfft_init_f32.c: Required for FFT initialization (added from CMSIS/DSP source).
• README.md: This file.

• The project captures real-time voltage readings via ADC, processes them using FFT, and stores the results in an adjacency graph for further analysis.
• Print statements are used to output both the FFT and magnitude results to a UART for real-time monitoring.

This project is licensed under the terms of the GPL License 2.0.