Space-time evolutionary Fourier analysis for linear arrays

This paper introduces a new technique for the frequency-domain characterization of non-stationary signals collected from a linear array of sensors. Essentially, bivariate tensor-product splines are used to smoothly fit a system´s space-time varying Fourier coefficients. Originally conceived for the analysis of ocean-wave data, this technique is best suited for signals that have relatively slow, smooth space-time variations and that have signal content centered at the fundamental Fourier frequencies. Simulated array data is presented and analyzed to illustrate algorithm performance