High-performance signal processing library with GPU acceleration. Implements novel wavelet transforms and adaptive filtering algorithms for real-time audio and biomedical applications.
This library provides a comprehensive suite of signal processing tools optimized for modern GPU architectures. The focus is on real-time processing capabilities for demanding applications in audio analysis and biomedical signal processing.
Key features include:
- GPU-accelerated FFT implementations with 50x speedup
- Novel adaptive wavelet transforms for non-stationary signals
- Real-time filtering with sub-millisecond latency
- Python bindings for easy integration
- Comprehensive test suite and documentation
The library has been adopted by several research groups and commercial applications, particularly in medical device development and audio processing systems. Performance benchmarks show significant improvements over existing solutions.