Unsupervised joint decomposition of a spectroscopic signal sequence ?
This work aims at estimating the parameters of Gaussian peaks in spectroscopic signals. Data gather actually several spectroscopic signals, so the decomposition is performed jointly on the whole data. The peaks evolve slowly through the data and may appear and disappear. We propose an original Bayesian model and an implementation of the RJMCMC algorithm. The performances of the method are discussed on synthetic and real (photoelectron) data.
rjmcmc signal decomposition sequence of spectroscopic signals hierarchical bayesian model markovian prior