Overview
fftea is a high-performance Fast Fourier Transform (FFT) library for Flutter and Dart, supporting inputs of any size. It enables efficient signal processing with built-in tools like Short-Time Fourier Transform (STFT) and convolution operations. Ideal for audio analysis, spectral visualization, and real-time data processing across multiple platforms. The library is optimized for speed and accuracy, making it suitable for both research and production applications. Its open-source nature allows for transparency and community contributions.
Use cases
- Audio signal analysis
- Spectral feature extraction
- Real-time data processing
- Signal filtering
- Time-frequency analysis
- Machine learning preprocessing
Key features
- Supports arbitrary input sizes
- Includes STFT and convolution
- High performance and low latency
- Cross-platform compatibility
- Open-source and actively maintained
- Accurate numerical computations
Suitable for
- Developers working on audio apps
- Researchers in signal processing
- Engineers building real-time analytics
- Educational projects involving FFT
- Applications requiring spectral transformations
Considerations
- Requires understanding of signal processing concepts
- May need additional memory for large transforms
- Not optimized for extremely high-frequency sampling
- Limited documentation beyond basic usage
- Potential complexity in integrating with existing pipelines