Fast Fourier Transform (FFT) Implementation on STM32 MCU

📌 Project Overview

This project implements the Fast Fourier Transform (FFT) algorithm on an STM32 microcontroller (MCU).
It enables real-time signal processing, frequency domain analysis, and efficient FFT computation for embedded systems.

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🚀 Key Features

• Efficient FFT Computation on STM32 MCU

  • Utilizes the CMSIS-DSP library for optimized FFT processing
  • Supports real and complex FFT calculations

• Real-Time Signal Processing

  • Processes incoming ADC (Analog-to-Digital Converter) signals in real-time
  • Computes FFT to analyze signal frequencies and amplitudes

• Memory and Performance Optimization

  • Optimized for low-power, high-performance execution on STM32 MCUs
  • Uses DMA (Direct Memory Access) to minimize CPU load

• Application Use Cases

  • Audio spectrum analysis
  • Vibration analysis for predictive maintenance
  • Wireless signal processing

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🔧 How to Use

1️⃣ Setup Requirements

• STM32CubeIDE or Keil uVision
• CMSIS-DSP library installed
• STM32 development board (e.g., STM32F4, STM32H7 series)

2️⃣ Building & Running the Code

1. Clone the project repository
2. Import the project into STM32CubeIDE
3. Compile and flash the firmware onto the STM32 MCU
4. Monitor output data via UART, LCD, or external interface

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