Optimal Time-Frequency analysis of the multiple time-translated locally stationary processes
A previously proposed model for non-stationary signals is extended in this contribution. The model consists of mul- tiple time-translated locally stationary processes. The opti- mal Ambiguity kernel for the process in mean-square-error sense is computed analytically and is used to estimate the time-frequency distribution. The performance of the kernel is compared with other commonly used kernels.