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#hilbert_spectrum

Hilbert spectrum

Statistical tool used in distinguishing among a mixture of moving signals

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.

Sun 19th

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Hilbert spectrum Hilbert space Hilbert–Huang transform Hilbert spectral analysis David Hilbert Rigged Hilbert space Unitary operator Digital signal processing Compact operator on Hilbert space Spectrum (functional analysis)
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