Techniques for improving swept sine analyses

摘要

A software application uncovers phase spreading that corrupts the linear response filters of a nonlinear system and executes a corrective algorithm that generates true-phase filters of the response over all nonlinear orders used in the analysis. The application first outputs a signal with logarithmically changing frequency, as a stimulus to generate a set of Farina harmonic response filters. The application then constructs an identity model and excites the identity model with an identical input under identical conditions, to generate a set of spreading function filters. The application computes the inverse of the spreading function filters and convolves the inverse spreading function filters with the Farina harmonic response filters to generate a set of spreading corrected filters. Finally, the application constructs the unmixing Chebyshev matrix and convolves the spreading correction filters with the unmixing Chebyshev matrix to remove the spreading and generate harmonically pure and phase-corrected filters.