Jeremy J. Wells

A Comparative Evaluation of Techniques for Single-Frame Discrimination of Nonstationary Sinusoids

Many spectral analysis and modification techniques require the separation of sinusoidal from nonsinusoidal signal components of a Fourier spectrum. Techniques exist for the estimation of the parameters of nonstationary sinusoids, and for discriminating these from other components, within a single Fourier frame. We present a comparative study of five methods for sinusoidal discrimination, considering their effectiveness and their computational cost.

Single-Frame Discrimination of Non-Stationary Sinusoids

This paper introduces two new methods for discrimination of non-stationary sinusoids within a single analysis frame. Both methods use data from frequency and time reassignment of Fourier transform data. These methods are then compared with an adapted version of an existing discrimination method, both in terms of their effectiveness and their computational cost.