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"A LOG-GAUSSIAN COX PROCESS WITH SEQUENTIAL MONTE CARLO FOR LINE NARROW" by Teemu Härkönen, Emma Hannula et al.

We propose a statistical model for narrowing line shapes in spectroscopy that are well approximated as linear combinations of Lorentzian or Voigt functions. We introduce a log-Gaussian Cox process to represent the peak locations thereby providing uncertainty quantification for the line narrowing. Bayesian formulation of the method allows for robust and explicit inclusion of prior information as probability distributions for parameters of the model. Estimation of the signal and its parameters is performed using a sequential Monte Carlo algorithm followed by an optimization step to determine the peak locations. Our method is validated using a simulation study and applied to a mineralogical Raman spectrum. ....

Monte Carlo , Gaussian Cox , Bayesian Inference , Ourier Self Deconvolution , Article Filtering And Smoothing , Leak Detection , Oisson Process , Statistical Signal Processing ,

New Underwater AI Bot Detects Illegal Fishing, Reports Fast

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United Kingdom , Martin Stemp , Paul White , Ryan Mowat , Iuufishingboatnoaa Paul White , National Oceanic , Environment News Service , University Of Southampton , Atmospheric Administration , Statistical Signal Processing , Sensor Signal Processing , Innovate United Kingdom , Southampton Professor , Statistical Signal Processing Paul White , Monterey Bay Aquarium , News Service , Latest News ,

AI Bot Designed to Tackle Illegal Fishing

A new underwater artificial intelligence bot that can identify actions that endanger the ecosystem of the ocean is being developed by scientists. ....

United Kingdom , Ryan Mowat , Paul White , Skyla Baily , University Of Southampton , Tackle Illegal Fishing , Innovate United , Statistical Signal Processing , Research Director ,