Analysis and synthesis of multicomponent signals using positive time-frequency distributions

A new approach to the analysis and reconstruction of multicomponent nonstat ionary signals from their time-frequency distribution (TFD) is presented. S pecifically, we consider a TFD based on the recently introduced minimum cro ss entropy principle (MCE), This positive TFD is cross-terms free and, henc e, has an advantage dyer the family of bilinear distributions. Based on the MCE-TFD, a new algorithm for reconstructing the phase and amplitude parame ters of each component of the signal is developed. To evaluate the accuracy of the algorithm, Monte Carlo simulations are presented and compared with the corresponding Cramer-Rao bound, It is shown that the new algorithm is s uperior to presently available methods in both efficiency and performance. It is concluded that together with the MCE-TFD representation, the proposed approach provides a powerful tool for analysis of nonstationary multicompo nent signals embedded in additive Gaussian noise.