메뉴 건너뛰기




Volumn 17, Issue 5, 2007, Pages 935-946

Image separation using particle filters

Author keywords

Bayesian source separation; Image separation; Non stationary noise; Particle filtering; Sequential Monte Carlo

Indexed keywords

ASTROPHYSICS; BLIND SOURCE SEPARATION; GAUSSIAN NOISE (ELECTRONIC); MONTE CARLO METHODS; PROBLEM SOLVING;

EID: 34547465590     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dsp.2007.04.003     Document Type: Article
Times cited : (26)

References (29)
  • 2
    • 57649118678 scopus 로고    scopus 로고
    • K.H. Knuth, Bayesian source separation and localization, in: SPIE 98 Proceedings: Bayesian Inference for Inverse Problems, San Diego, 1998, pp. 147-158
  • 3
    • 34547460434 scopus 로고    scopus 로고
    • K.H. Knuth, A Bayesian approach to source separation, in: Proceedings of the First International Workshop on Independent Component Analysis and Signal Separation, Aussios, France, 1999, pp. 283-288
  • 4
    • 34547468095 scopus 로고    scopus 로고
    • H. Snoussi, A. Mohammad-Djafari, Bayesian source separation with mixture of Gaussians prior for sources and Gaussian prior for mixture coefficients, Bayesian inference and maximum entropy methods in science and engineering, in: AIP Conference Proceedings, vol. 568, 2000, pp. 388-406
  • 5
    • 34547457400 scopus 로고    scopus 로고
    • R.A. Choudrey, S.J. Roberts, Bayesian ICA with hidden Markov model sources, in: ICA 2003, Nara, Japan
  • 6
    • 85024423711 scopus 로고
    • A new approach to linear filtering and prediction problems
    • Kalman R.E. A new approach to linear filtering and prediction problems. J. Trans. ASME Basic Eng. 83 (1961) 95-107
    • (1961) J. Trans. ASME Basic Eng. , vol.83 , pp. 95-107
    • Kalman, R.E.1
  • 8
    • 34547418485 scopus 로고    scopus 로고
    • S.J. Julier, J.K. Uhlmann, A new extension of the Kalman filter to nonlinear systems, in: Proceedings of the 11th International Symposium on Aerospace/Defense Sensing, Simulation and Controls, 1997
  • 9
    • 84874286884 scopus 로고
    • Monte Carlo techniques to estimate the conditional expectation in multi-stage non-linear filtering
    • Handschin J.E., and Mayne D.Q. Monte Carlo techniques to estimate the conditional expectation in multi-stage non-linear filtering. Int. J. Control. 9 (1969) 547-559
    • (1969) Int. J. Control. , vol.9 , pp. 547-559
    • Handschin, J.E.1    Mayne, D.Q.2
  • 12
    • 34547487238 scopus 로고    scopus 로고
    • C. Andrieu, S.J. Godsill, A particle filter for model based audio source separation, in: Int. Work. on ICA and Blind Signal Separation, ICA 2000, Helsinki, Finland
  • 14
    • 0030304310 scopus 로고    scopus 로고
    • Monte Carlo filter and smoother for non-Gaussian nonlinear state space models
    • Kitagawa G. Monte Carlo filter and smoother for non-Gaussian nonlinear state space models. J. Comput. Graph. Statist. 5 (1996) 1-25
    • (1996) J. Comput. Graph. Statist. , vol.5 , pp. 1-25
    • Kitagawa, G.1
  • 17
    • 34547470335 scopus 로고    scopus 로고
    • The Home Page of Planck, http://www.rssd.esa.int/Planck/
  • 21
    • 34547417941 scopus 로고    scopus 로고
    • H. Snoussi, G. Patanchon, J. Macias-Perez, A. Mohammad-Djafari, J. Delabrouille, Bayesian blind component separation for cosmic microwave background observation, in: AIP Proceedings of MaxEnt, 2001, pp. 125-140
  • 22
    • 34547435628 scopus 로고    scopus 로고
    • J.-F. Cardoso, H. Snoussi, J. Delabrouille, G. Patanchon, Blind separation of noisy Gaussian stationary sources. Application to cosmic microwave background imaging, in: Proc. EUSIPCO, vol. 1, 2002, pp. 561-564
  • 23
    • 0346316985 scopus 로고    scopus 로고
    • Multidetector multicomponent spectral matching and applications for cosmic microwave background data analysis
    • Delabrouille J., Cardoso J.F., and Patanchon G. Multidetector multicomponent spectral matching and applications for cosmic microwave background data analysis. Mon. Not. Roy. Astron. Soc. 346 (2003) 1089-1102
    • (2003) Mon. Not. Roy. Astron. Soc. , vol.346 , pp. 1089-1102
    • Delabrouille, J.1    Cardoso, J.F.2    Patanchon, G.3
  • 26
    • 34547400883 scopus 로고    scopus 로고
    • E.E. Kuruoǧlu, P.M. Comparetti, Bayesian source separation of astrophysical images using Markov chain Monte Carlo, in: Proc. PHYSTAT (Statistical Problems in Particle Physics, Astrophysics and Cosmology), September 2003
  • 29
    • 0346307721 scopus 로고    scopus 로고
    • A fast fixed-point algorithm for independent component analysis
    • Hyvärinen A., and Oja E. A fast fixed-point algorithm for independent component analysis. Neural Comput. 9 7 (1997) 1483-1492
    • (1997) Neural Comput. , vol.9 , Issue.7 , pp. 1483-1492
    • Hyvärinen, A.1    Oja, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.