CN115078616A - Multi-window spectral peak identification method, device, medium and product based on signal-to-noise ratio - Google Patents
Multi-window spectral peak identification method, device, medium and product based on signal-to-noise ratio Download PDFInfo
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Publication number | Priority date | Publication date | Assignee | Title |
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CN117332258A (en) * | 2023-12-01 | 2024-01-02 | 奥谱天成(成都)信息科技有限公司 | Near infrared absorption peak identification method, system and medium based on multi-scale Lorentz |
Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5896463A (en) * | 1996-09-30 | 1999-04-20 | Siemens Corporate Research, Inc. | Method and apparatus for automatically locating a region of interest in a radiograph |
US20050267689A1 (en) * | 2003-07-07 | 2005-12-01 | Maxim Tsypin | Method to automatically identify peak and monoisotopic peaks in mass spectral data for biomolecular applications |
WO2014094039A1 (en) * | 2012-12-19 | 2014-06-26 | Rmit University | A background correction method for a spectrum of a target sample |
CN105518455A (en) * | 2013-09-09 | 2016-04-20 | 株式会社岛津制作所 | Peak detection method |
JP2016173346A (en) * | 2015-03-18 | 2016-09-29 | 株式会社島津製作所 | Mass spectrum data processing device |
CN109001354A (en) * | 2018-05-30 | 2018-12-14 | 迈克医疗电子有限公司 | Wave crest recognition methods and device, chromatograph and storage medium |
CN109993155A (en) * | 2019-04-23 | 2019-07-09 | 北京理工大学 | For the characteristic peak extracting method of low signal-to-noise ratio uv raman spectroscopy |
US20190339205A1 (en) * | 2016-12-26 | 2019-11-07 | Nuctech Company Limited | Method for removing background from spectrogram, method of identifying substances through raman spectrogram, and electronic apparatus |
CN111595992A (en) * | 2020-06-30 | 2020-08-28 | 浙江三青环保科技有限公司 | Rapid peak searching method for online gas chromatographic peak |
CN112415078A (en) * | 2020-11-18 | 2021-02-26 | 深圳市步锐生物科技有限公司 | Mass spectrum data spectrogram signal calibration method and device |
CN113567603A (en) * | 2021-07-22 | 2021-10-29 | 华谱科仪(大连)科技有限公司 | Detection and analysis method of chromatographic spectrogram and electronic equipment |
CN114166814A (en) * | 2021-05-25 | 2022-03-11 | 北京理工大学 | Raman spectrum peak identification method based on dual-scale correlation operation |
CN114186596A (en) * | 2022-02-17 | 2022-03-15 | 天津国科医工科技发展有限公司 | Multi-window identification method and device for spectrogram peaks and electronic equipment |
CN114444542A (en) * | 2022-01-10 | 2022-05-06 | 中国科学院苏州生物医学工程技术研究所 | Liquid chromatography peak noise estimation method, device, storage medium and system |
-
2022
- 2022-05-07 CN CN202210494928.4A patent/CN115078616B/en active Active
Patent Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5896463A (en) * | 1996-09-30 | 1999-04-20 | Siemens Corporate Research, Inc. | Method and apparatus for automatically locating a region of interest in a radiograph |
US20050267689A1 (en) * | 2003-07-07 | 2005-12-01 | Maxim Tsypin | Method to automatically identify peak and monoisotopic peaks in mass spectral data for biomolecular applications |
WO2014094039A1 (en) * | 2012-12-19 | 2014-06-26 | Rmit University | A background correction method for a spectrum of a target sample |
CN105518455A (en) * | 2013-09-09 | 2016-04-20 | 株式会社岛津制作所 | Peak detection method |
JP2016173346A (en) * | 2015-03-18 | 2016-09-29 | 株式会社島津製作所 | Mass spectrum data processing device |
US20190339205A1 (en) * | 2016-12-26 | 2019-11-07 | Nuctech Company Limited | Method for removing background from spectrogram, method of identifying substances through raman spectrogram, and electronic apparatus |
CN109001354A (en) * | 2018-05-30 | 2018-12-14 | 迈克医疗电子有限公司 | Wave crest recognition methods and device, chromatograph and storage medium |
CN109993155A (en) * | 2019-04-23 | 2019-07-09 | 北京理工大学 | For the characteristic peak extracting method of low signal-to-noise ratio uv raman spectroscopy |
CN111595992A (en) * | 2020-06-30 | 2020-08-28 | 浙江三青环保科技有限公司 | Rapid peak searching method for online gas chromatographic peak |
CN112415078A (en) * | 2020-11-18 | 2021-02-26 | 深圳市步锐生物科技有限公司 | Mass spectrum data spectrogram signal calibration method and device |
CN114166814A (en) * | 2021-05-25 | 2022-03-11 | 北京理工大学 | Raman spectrum peak identification method based on dual-scale correlation operation |
CN113567603A (en) * | 2021-07-22 | 2021-10-29 | 华谱科仪(大连)科技有限公司 | Detection and analysis method of chromatographic spectrogram and electronic equipment |
CN114444542A (en) * | 2022-01-10 | 2022-05-06 | 中国科学院苏州生物医学工程技术研究所 | Liquid chromatography peak noise estimation method, device, storage medium and system |
CN114186596A (en) * | 2022-02-17 | 2022-03-15 | 天津国科医工科技发展有限公司 | Multi-window identification method and device for spectrogram peaks and electronic equipment |
Non-Patent Citations (14)
Title |
---|
CAKRAK, F AND LOUGHLIN, PJ: "2 Instantaneous frequency estimation of polynomial phase signals", PROCEEDINGS OF THE IEEE-SP INTERNATIONAL SYMPOSIUM ON TIME-FREQUENCY AND TIME-SCALE ANALYSIS, 31 December 1998 (1998-12-31) * |
KRISTIN H. JARMAN等: "A new approach to automated peak detection", 《CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS》, vol. 69 * |
MINGZHENG JIA等: "Quantitative Method for Liquid Chromatography-Mass Spectrometry Based on Multi-Sliding Window and Noise Estimation", PROCESSES, 1 June 2022 (2022-06-01) * |
THOMAS P.BRONEZ等: "Alternate windows for multi-window spectral ahalysis", 《IEEE》 * |
WANG YAN等: "Quantitative Analysis Algorithm of Liquid Chromatography-Triple Quadrupole Mass Spectrometry", JOURNAL OF TIANJIN UNIVERSITY (SCIENCE AND TECHNOLOGY), vol. 53, no. 6, 15 June 2020 (2020-06-15) * |
余贵水;李晓龙;魏钟记: "多窗口自适应的面目标滤波算法研究", 电子设计工程, no. 008 * |
姜承志;孙强;刘英;梁静秋;刘兵: "基于多尺度局部信噪比的拉曼谱峰识别算法", 光学学报, no. 006, 31 December 2014 (2014-12-31) * |
季江;高鹏飞;贾南南;杨蕊;郭汉明;瑚琦;庄松林;: "自适应多尺度窗口平均光谱平滑", 光谱学与光谱分析, no. 05, 15 May 2015 (2015-05-15) * |
李艳萍;宁跃飞;杨伟;: "基于限峰分离模糊直方图均衡化的图像增强算法", 西南师范大学学报(自然科学版), no. 03, 20 March 2018 (2018-03-20) * |
范贤光;王秀芬;王昕;许英杰;阙靖;王小东;何浩;李韦;左勇;: "基于特征提取的低信噪比拉曼光谱去噪方法研究", 光谱学与光谱分析, no. 12, 15 December 2016 (2016-12-15) * |
贾明正等: "LC-MS / MS 软件***设计及定量分析研究", 质谱学报, vol. 41, no. 2 * |
郑学书;郑舟;陈君: "一种基于滑动窗口的离子迁移谱谱峰识别算法", 电子世界, no. 011 * |
郑学书;郑舟;陈君;: "一种基于滑动窗口的离子迁移谱谱峰识别算法", 电子世界, no. 011, 8 June 2018 (2018-06-08) * |
陈淑珍;麻红昭;: "一种色谱谱峰识别算法的实现", 计算机应用与软件, no. 11, 15 November 2013 (2013-11-15) * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117332258A (en) * | 2023-12-01 | 2024-01-02 | 奥谱天成(成都)信息科技有限公司 | Near infrared absorption peak identification method, system and medium based on multi-scale Lorentz |
CN117332258B (en) * | 2023-12-01 | 2024-01-30 | 奥谱天成(成都)信息科技有限公司 | Near infrared absorption peak identification method, system and medium based on multi-scale Lorentz |
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