Spectrum analysis of asynchronously sampled signals by means of an ANN method

A method, based on ADALINE Artificial Neural Networks (ANNs), for spectrum analysis and fundamental frequency estimation of asynchronously sampled signals is compared with standard multiharmonics four parameter sine fit algorithm (4PSF). The performance of the method is demonstrated on real sinusoidal and real harmonically distorted sampled signals. The method resolves convergence problems of standard 4PSF and improves the repeatability of the measurements. Furthermore, the method shows high immunity to errors in the initial value of the fundamental frequency and negligible dependence on the calculated number of harmonics.