Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data
Publication
, Journal Article
Dasgupta, N; Runkle, P; Couchman, L; Carin, L
Published in: Signal Processing
June 1, 2001
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.
Duke Scholars
Published In
Signal Processing
DOI
ISSN
0165-1684
Publication Date
June 1, 2001
Volume
81
Issue
6
Start / End Page
1303 / 1316
Related Subject Headings
- Networking & Telecommunications
- 46 Information and computing sciences
- 40 Engineering
- 10 Technology
- 09 Engineering
- 08 Information and Computing Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Dasgupta, N., Runkle, P., Couchman, L., & Carin, L. (2001). Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data. Signal Processing, 81(6), 1303–1316. https://doi.org/10.1016/S0165-1684(00)00262-0
Dasgupta, N., P. Runkle, L. Couchman, and L. Carin. “Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data.” Signal Processing 81, no. 6 (June 1, 2001): 1303–16. https://doi.org/10.1016/S0165-1684(00)00262-0.
Dasgupta N, Runkle P, Couchman L, Carin L. Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data. Signal Processing. 2001 Jun 1;81(6):1303–16.
Dasgupta, N., et al. “Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data.” Signal Processing, vol. 81, no. 6, June 2001, pp. 1303–16. Scopus, doi:10.1016/S0165-1684(00)00262-0.
Dasgupta N, Runkle P, Couchman L, Carin L. Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data. Signal Processing. 2001 Jun 1;81(6):1303–1316.
Published In
Signal Processing
DOI
ISSN
0165-1684
Publication Date
June 1, 2001
Volume
81
Issue
6
Start / End Page
1303 / 1316
Related Subject Headings
- Networking & Telecommunications
- 46 Information and computing sciences
- 40 Engineering
- 10 Technology
- 09 Engineering
- 08 Information and Computing Sciences