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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Boualem, A. Jabloun, M. Ravier, P. Naiim, M. Mocha, A. |
| Copyright Year | 2014 |
| Description | Author affiliation: PRISME, Univ. Orleans, Orleans, France (Boualem, A.; Jabloun, M.; Ravier, P.) || CILAS, Orleans, France (Naiim, M.; Mocha, A.) |
| Abstract | An improved and robust Bayesian method is proposed to estimate the number-weighted Particle Size-Distributions (PSD) from data obtained by Multiangle Dynamic Light Scattering (MDLS). Compared to former approach presented by Clementi, the originality of our method lies in the fact that it is directly applied to raw MDLS data without any preprocessing. Indeed, the PSD Bayesian estimation proposed by Clementi requires the prior evaluation of the harmonic intensity averaged particle diameters at different angles by means of the cumulants method. The spreading of the estimation errors is inherent in this method which makes the multimodal PSD estimation worsens. The efficiency and robustness of the method proposed are evaluated through simulated and experimental data. Comparisons with the Clementi method are also presented. We show an improvement of the resolution and the repeatability, and a better correlation between our results and the original distributions. |
| Starting Page | 360 |
| Ending Page | 363 |
| File Size | 292209 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479949755 |
| DOI | 10.1109/SSP.2014.6884650 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-29 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Bayes methods Light scattering Estimation Atmospheric measurements Particle measurements Noise measurement Noise MCMC Particle Size Distribution Multiangle Dynamic Light Scattering Inverse Problem Bayesian Inference |
| Content Type | Text |
| Resource Type | Article |
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