Photonics Research, Volume. 2, Issue 6, 168(2014)
Blind spectral deconvolution algorithm for Raman spectrum with Poisson noise
Fig. 1. Illustration of TR and MTR constraints on three types: flat region, noise region, and structure region. (a) Tikhonov regularization. (b) Modified Tikhonov regularization can distinguish different regions.
Fig. 2. Simulation experiment. (a) Raman spectrum of methyl formate (
Fig. 3. NMSE versus regularization parameter of TR-RL and MTR-RL for the Raman spectrum of methyl formate (
Fig. 4. NMSE versus the iteration number of the three methods for the Raman spectrum [methyl formate (
Fig. 5. Real Raman spectrum experiment. (a) Cr:LisAF crystal [13] from 300 to 900 nm, deconvolution by (b) TR-RL and (c) MTR-RL. (d) Estimated instrument function.
Fig. 6. Real Raman deconvolution experiment. (a) Raman spectrum of (D+)-glucopyranose [14] from 10 to
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Hai Liu, Zhaoli Zhang, Jianwen Sun, and Sanya Liu, "Blind spectral deconvolution algorithm for Raman spectrum with Poisson noise," Photonics Res. 2, 168 (2014)
Category: Spectroscopy
Received: Aug. 8, 2014
Accepted: Sep. 11, 2014
Published Online: May. 21, 2015
The Author Email: and Sanya Liu (lsy5918@gmail.com)