The Hilbert spectrum , named after David Hilbert, is a statistical tool that can help in distinguishing among a mixture of moving signals. The spectrum itself is decomposed into its component sources using independent component analysis. The separation of the combined effects of unidentified sources has applications in climatology, seismology, and biomedical imaging.