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| Publications [#339012] of Lawrence Carin
Papers Published
- Dasgupta, N; Runkle, P; Couchman, L; Carin, L, Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data,
Signal Processing, vol. 81 no. 6
(June, 2001),
pp. 1303-1316, Elsevier BV [S0165-1684(00)00262-0], [doi]
(last updated on 2024/12/31)
Abstract: Angle-dependent scattering (electromagnetic or acoustic) is considered from 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-stationarity is characterized by an "outer" hidden Markov model (HMMo). The statistics of the wavelet coefficients, within a state of the outer HMM, are characterized by a second, "inner" HMMi, 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. © 2001 Elsevier Science B.V.
Keywords: Electromagnetic wave scattering;Acoustic wave scattering;Markov processes;Mathematical models;Wavelet transforms;Trees (mathematics);
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