Multivariate scale mixture of Gaussians modeling

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3889 LNCS, Issue , 2006, Pages 799-806

  Eltoft, Torbjørn ^a   Kim, Taesu ^b   Lee, Te Won ^b  

^a UNIVERSITY OF TROMSØ   (Norway)

^b UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIANS MODELING; GAUSSIANS MODELS; MULTIVARIATE NIG MODELS; MULTIVARIATE SCALE MIXTURE;

COMPUTER SIMULATION; ITERATIVE METHODS; LAPLACE TRANSFORMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; RANDOM PROCESSES;

PROBABILITY;

EID: 33745711478     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11679363_99     Document Type: Conference Paper

References (14)

1. Simoncelli, E.P.: Modeling the joint statistics of images in the wavelet domain. In: Proc. SPIE 44th Annual Meeting, Denver (1999)
2. Portilla, J., Strela, V., Wainwright, M.J., Simoncelli, E.P.: Image denoising using scale mixture of Gaussians in the wavelet domain. IEEE Trans. Image Proc. 12(11) (2003) 1338-1351
3. Solbo, S., Eltoft, T.: Homomorphic wavelet-based statistical despeckling of SAR images. IEEE Trans. Geosci. Remote Sensing 42(4) (2004) 711-721
4. Martin, R., Breithaupt, C.: Speech enhancement in the DFT domain using Laplacian speech priors. In: Proc. IWAENC'03, Kyoto (2003)
5. Kim, T., Attias, H.T., Lee, S.Y., Lee, T.W.: Blind source separation exploiting higher-order frequency dependencies. IEEE Trans. Speech Audio Processing 14(1) (2006)
6. Park, H.J., Lee, T.W.: Modeling nonlinear dependencies in natural images using mixture of Laplacian distribution. Advances in Neural Computation Systems (2004)
7. Barndorff-Nielsen, O.E.: Normal Inverse Gaussian Distributions and Stochastic Volatility Modelling. Scand. J. Statist. 24 (1997) 1-13
8. Jenssen, R., Øigård, T.A., Eltoft, T., Hanssen, A.: Sparse code shrinkage using the Normal Inverse Gaussian Density Model. In: Proceedings of ICA'2001, San Diego (2001)
9. Eltoft, T., Kim, T., Lee, T.W.: A multivariate Laplace distribution. Accetpted for publication in "IEEE Signal Processing Letters" (2005)
10. Øigård, T.A., Hanssen, A., Hansen, R.E., Godtliebsen, F.: EM-estimation and modeling of heavy-tailed processes with the multivariate Normal Inverse Gaussian distribution. Signal Processing 85(8) (2005) 1655-1673
11. Andrews, A.F., Mallows, C.L.: Scale mixtures of Normal Distributions. Journal of the Royal Statistical Society. Series B 36(1) (1974) 99-102
12. Shankar, P.M.: A model for ultrasonic scattering from tissues based on K distribution,. Phys. Med. Biol. 40 (1995) 1633-1649
13. Jakeman, E., Pusey, P.N.: A model for non-Rayleigh sea echo. IEEE Trans. Antennas Propag. 31 (1976) 490-498
14. Eltoft, T., Høgda, K.A.: Non-Gaussian signal statistics in ocean SAR imagery. IEEE Trans. Geosci. Remote Sensing 36(2) (1998) 562-575