Signal Processing with DotCompute
Learn how to implement signal processing algorithms with GPU acceleration using DotCompute.
🚧 Documentation In Progress - Signal processing examples are being developed.
Overview
DotCompute supports GPU-accelerated signal processing including:
- FFT and frequency domain analysis
- Filtering and convolution operations
- Time series analysis and processing
- Wavelet transforms
- Real-time signal processing
Time Series
Time Series Analysis
TODO: Document time series processing:
- Windowing operations
- Trend analysis
- Seasonality detection
- Anomaly detection
Time Series Forecasting
TODO: Explain forecasting patterns:
- ARIMA models
- Exponential smoothing
- Neural network approaches
Filtering
Digital Filters
TODO: Cover digital filter implementations:
- FIR filters
- IIR filters
- Filter design
Real-Time Filtering
TODO: Document real-time filtering patterns
Frequency Domain Analysis
FFT Operations
TODO: Provide FFT examples:
- Forward FFT
- Inverse FFT
- Spectral analysis
Spectral Processing
TODO: Explain spectral domain operations
Advanced Techniques
Wavelet Transforms
TODO: Document wavelet analysis
Adaptive Filtering
TODO: Cover adaptive filter algorithms
Performance Tips
TODO: List signal processing optimization techniques
Examples
TODO: Provide complete signal processing examples