Method and Application for Raman Spectra SNR Evaluation Based on Extreme Points Statistics

WANG Zi-ru; LIU Ming-hui; LIU En-kai; DONG Zuo-ren; CAI Sheng-wen; YIN Lei; LIU Feng

doi:10.3964/j.issn.1000-0593(2019)04-1080-06

Journals >Spectroscopy and Spectral Analysis >Volume 39 >Issue 4 >Page 1080 > Article

Spectroscopy and Spectral Analysis
Vol. 39, Issue 4, 1080 (2019)

Method and Application for Raman Spectra SNR Evaluation Based on Extreme Points Statistics

WANG Zi-ru^1、*, LIU Ming-hui², LIU En-kai¹, DONG Zuo-ren², CAI Sheng-wen¹, YIN Lei¹, and LIU Feng¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2019)04-1080-06 Cite this Article

WANG Zi-ru, LIU Ming-hui, LIU En-kai, DONG Zuo-ren, CAI Sheng-wen, YIN Lei, LIU Feng. Method and Application for Raman Spectra SNR Evaluation Based on Extreme Points Statistics[J]. Spectroscopy and Spectral Analysis, 2019, 39(4): 1080 Copy Citation Text

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References

[1] Esmondewhite K A, Cuellar M, Uerpmann C, et al. Analytical & Bioanalytical Chemistry, 2017, 409(3): 637.

[2] Ramasubramanyan N. Raman Spectroscopy for Bioprocess Operations, 2016.

[3] Bartko A P. Identification of Mycoplasm Contamination in Biotechnology Production Using Raman Spectroscopy: WO, US9334520, 2016.

[7] Kashima N. Ieice Comex, 2014, 3(10): 300.