Bayesian estimation of smooth altimetric parameters: Application to conventional and delay/Doppler altimetry
This paper proposes a new Bayesian strategy for the smooth estimation of altimetric
parameters. The altimetric signal is assumed to be corrupted by a thermal and speckle noise …
parameters. The altimetric signal is assumed to be corrupted by a thermal and speckle noise …
Toward automated non-destructive diagnosis of chloride attack on concrete structures by near infrared spectroscopy
A Watanabe, S Tokuda, Y Mizuta, S Miyamoto… - … and Building Materials, 2021 - Elsevier
This is a fundamental study of a non-destructive and contactless equipment to evaluate the
chloride ion on concrete, with near infrared spectroscopy. Non-destructive measurements on …
chloride ion on concrete, with near infrared spectroscopy. Non-destructive measurements on …
Time-Resolved Observation of the Solvation Dynamics of a Rydberg Excited Molecule Deposited on an Argon Cluster. II. DABCO☆ at Long Time Delays
S Awali, JM Mestdagh, MA Gaveau… - The Journal of …, 2021 - ACS Publications
The real-time dynamics of DABCO–argon clusters is investigated in a femtosecond pump–
probe experiment where the pump excites DABCO to the S1 state within the argon cluster …
probe experiment where the pump excites DABCO to the S1 state within the argon cluster …
Time resolved observation of the solvation dynamics of a Rydberg excited molecule deposited on an argon cluster-I: DABCO☆ at short times
S Awali, L Poisson, B Soep, MA Gaveau… - Physical Chemistry …, 2014 - pubs.rsc.org
This paper is a joint experimental and theoretical approach concerning a molecule
deposited on a large argon cluster. The spectroscopy and the dynamics of the deposited …
deposited on a large argon cluster. The spectroscopy and the dynamics of the deposited …
Unsupervised joint decomposition of a spectroscopic signal sequence
This paper addresses the problem of decomposing a sequence of spectroscopic signals.
Data are a series of signals modeled as a noisy sum of parametric peaks. We aim to …
Data are a series of signals modeled as a noisy sum of parametric peaks. We aim to …
Nonlinear regression using smooth Bayesian estimation
This paper proposes a new Bayesian strategy for the estimation of smooth parameters from
nonlinear models. The observed signal is assumed to be corrupted by an independent and …
nonlinear models. The observed signal is assumed to be corrupted by an independent and …
[PDF][PDF] Unmixing hyperspectral images accounting for temporal and spatial endmember variability
This paper proposes an unsupervised Bayesian algorithm for unmixing successive
hyperspectral images while accounting for temporal and spatial variability of the …
hyperspectral images while accounting for temporal and spatial variability of the …
Restoration of depth and intensity images using a graph laplacian regularization
This paper presents a new algorithm for the joint restoration of depth and intensity (DI)
images constructed using a gated SPAD-array imaging system. The three dimensional (3D) …
images constructed using a gated SPAD-array imaging system. The three dimensional (3D) …
Unmixing multitemporal hyperspectral images accounting for endmember variability
This paper proposes an unsupervised Bayesian algorithm for unmixing successive
hyperspectral images while accounting for temporal and spatial variability of the …
hyperspectral images while accounting for temporal and spatial variability of the …
Joint Bayesian decomposition of a spectroscopic signal sequence with RJMCMC
This article presents a method for decomposing a sequence of spectroscopic signals into a
sum of peaks whose centers, amplitudes and widths are estimated. Since the peaks exhibit …
sum of peaks whose centers, amplitudes and widths are estimated. Since the peaks exhibit …