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- W2019964605 abstract "We consider angle-dependent scattering form a general target, for which the scattered signal is a non-stationary function of the target-sensor orientation. A statistical model is presented for the wavelet coefficients of such a signal, in which the angular non-stationary is characterized by an 'outer' hidden Markov model. The statistics of the wavelet coefficients, within a state of the outer HMM, are characterized by a second, 'inner' HMM, exploiting the tree structure of the wavelet decomposition. This dual-HMM construct is demonstrated by considering multi-aspect target identification using measured acoustic scattering data." @default.
- W2019964605 created "2016-06-24" @default.
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- W2019964605 date "2000-08-22" @default.
- W2019964605 modified "2023-09-24" @default.
- W2019964605 title "Dual hidden Markov model characterization of wavelet coefficients from multiaspect scattering data" @default.
- W2019964605 doi "https://doi.org/10.1117/12.396179" @default.
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