Ultra-precise Fast Fourier Transformation using Precise Repeat Integral Signal Monitor signal processing
The Precise Repeat Integral Signal Monitor (PRISM) FFT technique uses four windowing functions to calculate the frequency, phase and amplitude of each peak, while suppressing spectral noise. In the example, the PRISM FFT calculates peak parameters with > 1000x smaller errors than the conventional FFT techniques.
Applications: Signal processing, spectral analysis, FFT, frequency, phase and amplitude measurement
| Features | Benefits |
|---|---|
| Superb accuracy of peak frequency, phase and amplitude calculations | Unparalleled resolution and accuracy, even at low sampling rates |
| Minimises spectral leakage | High dynamic range; detects low amplitude peaks |
| Peak accuracy a function of local signal-to-noise ratio | Robust for high-noise applications |
| Low computational overhead | Superb accuracy for low-noise applications |
| Suitable for real-time measurements |
Patented and Available For
- Co-development
- Consulting
- Licensing