Robustness of a semi-blind deconvolution method applied to Raman spectra with Gaussian and Poisson noises

Authors

Troy Justin G. Go ⋅ PH Department of Physical Sciences and Mathematics, University of the Philippines Manila
Vincent Paul V. Munar ⋅ PH Department of Physical Sciences and Mathematics, University of the Philippines Manila
Marie Josephine M. De Luna ⋅ PH Department of Physical Sciences and Mathematics, University of the Philippines Manila
Roy B. Tumlos ⋅ PH Department of Physical Sciences and Mathematics, University of the Philippines Manila

Abstract

In this study, the robustness of semi-blind deconvolution with hybrid regularization (SBD-HR) applied to Raman spectra with Gaussian, Poisson, and Gaussian and Poisson noises is investigated. Gaussian-, Poisson-, and Gaussian and Poisson-degraded cocaine spectra were simulated. SBD-HR was applied to corresponding noise cases of the spectra simulations. Difference spectra, changes in signal-to-noise ratio, values of root-mean-square error, correlation coefficient, weighted correlation coefficient, and standard deviations of distributions fitted to histograms generated from the difference spectra were acquired. Results show that, with the initialized regularization parameters, SBD-HR is capable of resolving Gaussian- and Gaussian and Poisson-degraded spectra with SNR of around 15 and below.

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Issue

2021: Proceedings of the 39th Samahang Pisika ng Pilipinas Physics Conference

Article ID

SPP-2021-PB-07

Section

Poster Session B (Complex Systems, Photonics, and Interdisciplinary Topics)

Published

2021-09-25

How to Cite

[1]

TJG Go, VPV Munar, MJM De Luna, and RB Tumlos, Robustness of a semi-blind deconvolution method applied to Raman spectra with Gaussian and Poisson noises, Proceedings of the Samahang Pisika ng Pilipinas 39, SPP-2021-PB-07 (2021). URL: https://proceedings.spp-online.org/article/view/SPP-2021-PB-07.