Implementation of [Formula: see text]-Interval fourier transform analysis - Application to compound action potentials

[Formula: see text]-Interval Fourier Transform Analysis ([Formula: see text]-FTA) allows for spectral separation of a periodic target signal from uncorrelated background interference. A [Formula: see text]-FTA pseudo-code is presented. The spectral resolution is defined by the repetition rate of the near periodic signal. Acceptance criteria for spectral targets were defined such that the probability of accepting false positives is less than [Formula: see text]. Simulated and recorded neural compound action potentials (CAPs) were investigated. Simulated data allowed for comparison with reference solutions demonstrating the stability of [Formula: see text]-FTA at conditions being comparable to real world data. Background activity was assessed with small errors. Evoked target components were assessed down to power spectral density being approximately [Formula: see text] • N-FTA allows for spectral separation of a periodic target signal from uncorrelated interference by analyzing a segment containing N target signal repetitions. • A MATLAB implementation of the algorithm is provided along with simulated and recorded data. • N-FTA was successfully validated using simulated and measured data for CAPs.