Denoising method for Raman spectra with low signal-to-noise ratio based on feature extraction.

Zhao, X Y; Liu, G Y; Sui, Y T; Xu, M; Tong, L

Zhao, X Y; Liu, G Y; Sui, Y T; Xu, M; Tong, L.

Afiliación

Zhao XY; College of Electrical and Information, Heilongjiang Bayi Agricultural University, Daqing 163319, China. Electronic address: xy_zhao77@163.com.
Liu GY; College of Electrical and Information, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
Sui YT; College of Electrical and Information, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
Xu M; College of Electrical and Information, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
Tong L; Communication and Electronic Engineering Institute, Qiqihar University, 161000, China.

Spectrochim Acta A Mol Biomol Spectrosc ; 250: 119374, 2021 Apr 05.

Article en En | MEDLINE | ID: mdl-33422882

Palabras clave

Denoising; Feature extraction; Low signal-to-noise-ratio; Raman spectroscopy

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Asunto de la revista: BIOLOGIA MOLECULAR Año: 2021 Tipo del documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google