Getting Started¶
This guide outlines the installation process and environment requirements for using SigVarGen.
Python Environment and Dependencies¶
SigVarGen requires:
- Python >= 3.8
- NumPy: Numerical computations
- SciPy: Advanced scientific computations and signal processing
- Matplotlib: Data visualization
- pytest: Testing and validation
Dependencies are managed using a standardized pyproject.toml.
Installation Instructions¶
Clone and install dependencies:
git clone https://github.com/SigVarGen/SigVarGen.git
cd SigVarGen
pip install ./