DSPsirun

DSPsirun is a digital signal processing library written in Python. It is designed to provide efficient and user-friendly tools for a wide range of signal processing tasks. The library offers implementations of common algorithms such as filtering, spectral analysis, and time-frequency analysis. DSPsirun aims to be accessible to users with varying levels of signal processing expertise, from beginners to experienced researchers.

The core functionality of DSPsirun is built upon numerical computation libraries like NumPy and SciPy, leveraging their performance optimizations. This allows for the processing of large datasets and complex signals without significant performance bottlenecks. The library's design emphasizes clarity and modularity, making it easier for users to understand and adapt the provided functions to their specific needs.

DSPsirun includes modules for signal generation, manipulation, and analysis. Users can create various synthetic signals, apply transformations, and extract meaningful information from existing data. Its applications span across fields such as audio processing, communications, biomedical engineering, and scientific research where signal analysis is crucial. The library is distributed under an open-source license, encouraging community contribution and continuous development.