公开(公告)号：US10578694B2

公开(公告)日：2020-03-03

申请号：US16444519

申请日：2019-06-18

申请人： Bruker BioSpin GmbH

发明人： Christian Fischer ,  Markus Lang ,  Martin Wyser ,  Klaus Peter Neidig ,  Michael Erich Wilhelm Fey

IPC分类号： G01R33/46 ,  G01R33/54

摘要： Systems and methods for improved NMR signal detection are described. The system receives NMR signal data produced by a sample over time in response to an excitation pulse and selects a predefined system function for application to the NMR signal data for systematic variation of signal properties The system function has a different influence on NMR signal components than on noise components of the sampled signal and has a variation parameter to control the systematic variation. A plurality of variation parameter values is provided with differing values to influence broad NMR signals as well as weak NMR signals. The system generates for each variation parameter value a corresponding intermediate data set by applying the system function with the respective variation parameter value to the NMR signal data. Further, from each intermediate data set, a respective base value centered spectrum is generated in the frequency-domain.

公开(公告)号：US20190391219A1

公开(公告)日：2019-12-26

申请号：US16444519

申请日：2019-06-18

申请人： Bruker BioSpin GmbH

发明人： Christian Fischer ,  Markus Lang ,  Martin Wyser ,  Klaus Peter Neidig ,  Michael Erich Wilhelm Fey

IPC分类号： G01R33/46 ,  G01R33/54

摘要： Systems and methods for improved NMR signal detection are described. The system receives NMR signal data produced by a sample over time in response to an excitation pulse and selects a predefined system function for application to the NMR signal data for systematic variation of signal properties The system function has a different influence on NMR signal components than on noise components of the sampled signal and has a variation parameter to control the systematic variation. A plurality of variation parameter values is provided with differing values to influence broad NMR signals as well as weak NMR signals. The system generates for each variation parameter value a corresponding intermediate data set by applying the system function with the respective variation parameter value to the NMR signal data. Further, from each intermediate data set, a respective base value centered spectrum is generated in the frequency-domain.