Single Source Points (SSPs) Extraction and Underdetermined bling Source Separation (UBSS)

Jet Kwok (2023/09/19)

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📖 Table of Contents

• 📖 Table of Contents
• 📍 Overview
• 📦 Features
• 📂 repository Structure
• ⚙️ Modules
• 🚀 Getting Started
  • 🔧 Installation
  • 🤖 Running ssps_ubss
  • 🧪 Tests
• 📄 License
• 👏 Reference

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📍 Overview

The Python Version of SSPs&UBSS Algorithm.

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📦 Features

Here is the cluster visualization result of data, during SSPs.

Here is the UBSS result of data.

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📂 Repository Structure

└── ssps_ubss/
    ├── __asserts__/
    │   └── figs/
    ├── main.py
    ├── pinv.py
    ├── requirements.txt
    ├── span.py
    ├── temp_test.py
    └── utils/
        └── utils.py

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⚙️ Modules

Root

File	Summary
main.py	Main file of this project
pinv.py	ISTFT
requirements.txt	The requirement packages of this project
span.py	The space theory and a modified subspace algorithm
temp_test.py	Test file
utils.py	utils file

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🚀 Getting Started

🔧 Installation

1. Clone the ssps_ubss repository:

git clone https://github.com/FMVPJet/ssps_ubss.git

2. Change to the project directory:

cd ssps_ubss

3. Install the dependencies:

pip install -r requirements.txt

🤖 Running ssps_ubss

python main.py

🧪 Tests

TODO

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📄 License

MIT

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👏 Reference

[1] Pan ning, "Modulation Classification of Time-Frequency Mixed Signals Based on Semantic Segmentation."

[2] 周君琪. 欠定盲源分离混合矩阵估计及源信号恢复算法

[3] README.md file is created by README-AI.

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