Instrumentation applications of ultra-precise Fast Fourier Transformation (FFT), powered by the Precise, Repeat Integral Signal Monitor (PRISM) algorithm
Applications: signal processing, spectral analysis, FFT, ultra-precise frequency, phase and amplitude measurement
The prism FFT technique uses two windowing functions to calculate the exact tone frequency and amplitude.
In the example shown, the two outer tones are correctly calculated to 12 decimal places, while the middle tone is computed to 6 decimal places. These high precision results are achieved using only twice the computational cost of conventional FFT methods.
Superb accuracy of true peak frequency, phase and amplitude calculations 1
Unparalleled resolution and accuracy
Excellent true-tone calculation, even at low sampling rates
Use with lower-performance, lower-power hardware
Minimises spectral leakage
High dynamic range: low and high amplitude peaks in the same measurement conditions
Peak accuracy a function of local signal-to-noise ratio
Robust for high-noise applications
Superb accuracy for low-noise applications
Low computational overhead
Suitable for real-time measurements
1: 106 improvement in frequency calculation compared to conventional Hanning approach