Hyperspectral data deconvolution for galaxy kinematics with MCMC

European Signal Processing Conference

Volumn , Issue , 2012, Pages 2477-2481

  Villeneuve, Emma ^a   Carfantan, Hervé ^a  

^a IRAP   (France)

Author keywords

Deconvolution; emission line; estimation; galaxy kinematics; Gibbs sampler; hyperspectral data; MCMC

Indexed keywords

DATA ACQUISITION SYSTEM; DATA PROCESSING AND ANALYSIS; DECONVOLUTION METHOD; EMISSION LINES; ESTIMATION METHODS; GIBBS SAMPLERS; HYPERSPECTRAL DATA; HYPERSPECTRAL INSTRUMENT; LOW SIGNAL-TO-NOISE RATIO; MCMC; ML ESTIMATORS; MONTE CARLO; POSTERIOR MEANS; SPECTRAL LINE;

DECONVOLUTION; GALAXIES; KINEMATICS; MARKOV PROCESSES; OPTICAL TRANSFER FUNCTION; SIGNAL PROCESSING;

ESTIMATION;

EID: 84869832305     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

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3. B. Epinat, Des galaxies proches aux galaxies lointaines : Etude cinematique et dynamique, Ph.D. thesis, Universite de Provence, November 2008.
4. V. Mazet, D. Brie, and J. Idier, "Simulation of Positive Normal Variables using several Proposal Distributions," IEEE Worshop Statistical Signal Processing, July 2005.
5. G. O. Roberts and J. S. Rosenthal, "Optimal scaling for various Metropolis-Hastings algorithms," Statistical Science, vol. 16, no. 4, pp. 351-367, 2001.