会议论文

Lin, Xiaoming

英文

2019 4TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS (ICBDA 2019)

2019

297-302

4th IEEE International Conference on Big Data Analytics (ICBDA)

MAR 15-18, 2019

Suzhou, PEOPLES R CHINA

[Lin, Xiaoming] Guangdong Shunde Innovat Design Inst, Guangdong Shunde Ind Design Res Inst, Foshan, Peoples R China.^[Liang, Tianzhi] Guangdong Univ Technol, Sch Automat, Guangzhou, Guangdong, Peoples R China.^[Cao, Liang] Univ South China, Sch Elect Engn, Hengyang, Peoples R China.

IEEE, Xian Jiaotong Liverpool Univ, Res Inst Big Data Analyt, Univ Texas Dallas, Hong Kong Polytechn Univ

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-7281-1282-4

Science and Technology Innovation Project of Foshan [2016AG100193]

本校为其他机构

In order to improve the quality of peak characteristics extraction in chromatographic data, an automatic peak fitting method based on wavelet ridges and morphology (WMPF) was proposed. In handling overlapping peaks and weak peaks, WMPF gave solution to deal with the shortcomings of existing peak detection methods. The ridge line of the signal was obtained by wavelet transform of the original chromatogram signal, and the signal was divided into peak areas and non-peak areas. Then, we processed morphological operations with an adaptive window, and combined Gaussian fitting with wavelet ridge inf...