A simplified Python class for processing Touchstone files (.snp) representing frequency responses. This project aims to facilitate the processing and visualization of frequency responses, providing an easy-to-use alternative to more powerful tools like ADS Python and scikit-rf.
Features
Simple Processing: Perform basic operations such as computing mixed-mode S parameters and de-embedding using T matrix inversion. Automation via Excel: The main feature of this project is the integration with an Excel file that acts as a control panel, allowing users to automate processes easily. Visualization: Generate plots for S parameters and mixed-mode S parameters, with options to customize titles and legends based on network names.
Requirements
Python 3.x NumPy Matplotlib
Installation
Clone the repository. Install the required Python packages using pip install -r requirements.txt. Run the main script to see the example usage.
License
This project is licensed under the MIT License.