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.

Features	Benefits
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

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Instrumentation applications of ultra-precise Fast Fourier Transformation (FFT), powered by the Precise, Repeat Integral Signal Monitor (PRISM) algorithm

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