Component isolation for multi-component signal analysis using a non-parametric gaussian latent feature model

•The approach integrates non-parametric latent feature model and TFA-based demodulation.•The approach can infer the components automatically without defining the number of components.•The approach can accurately recover the amplitudes of superimposed components at the cross points.