25 citations · 30 across the 2 of their papers we have counts for
2 papers
stat.ME2020★ 5 cited
Fast Bayesian Deconvolution using Simple Reversible Jump Moves
Koki Okajima, Kenji Nagata, Masato Okada
We propose a Markov chain Monte Carlo-based deconvolution method designed to estimate the number of peaks in spectral data, along with the optimal parameters of each radial basis f…
eess.SP2018★ 25 cited
Bayesian Spectral Deconvolution Based on Poisson Distribution: Bayesian Measurement and Virtual Measurement Analytics (VMA)
Kenji Nagata, Yoh-ichi Mototake, Rei Muraoka +2
In this paper, we propose a new method of Bayesian measurement for spectral deconvolution, which regresses spectral data into the sum of unimodal basis function such as Gaussian or…