Invention Grant
US09383308B2 Multi-component regression/multi-component analysis of time series files
有权
时间序列文件的多分量回归/多分量分析
- Patent Title: Multi-component regression/multi-component analysis of time series files
- Patent Title (中): 时间序列文件的多分量回归/多分量分析
-
Application No.: US13654146Application Date: 2012-10-17
-
Publication No.: US09383308B2Publication Date: 2016-07-05
- Inventor: Michael S. Bradley , Garry L. Ritter , Alexander I. Grenov
- Applicant: Thermo Electron Scientific Instruments LLC
- Applicant Address: US WI Madison
- Assignee: Thermo Electron Scientific Instruments LLC
- Current Assignee: Thermo Electron Scientific Instruments LLC
- Current Assignee Address: US WI Madison
- Agent Ion C. Abraham
- Main IPC: G06F15/00
- IPC: G06F15/00 ; G01N21/35 ; G01J3/28 ; G01N21/27 ; G01N21/3504 ; G01N21/3563 ; G01N21/3577

Abstract:
MCR provided estimated pure component time series spectra as extracted from infrared or other spectroscopy is capable of being compared to spectra in a reference library to find the best matches. The best match spectra can then each in turn be combined with the reference spectra, with the combinations also being screened for best matches versus any one of the estimated pure component time series spectra. These resulting best matches can then also undergo the foregoing combination and comparison steps. The process can repeat in this manner in an unbounded fashion if desired until an appropriate stopping point is reached, for example, when a desired number of best matches are identified, when some predetermined number of iterations has been performed, etc. This methodology is able to return best-match spectra with far fewer computational steps and greater speed than if all possible combinations of reference spectra are considered.
Public/Granted literature
- US20130096883A1 Multi-Component Regression/Multi-Component Analysis of Time Series Files Public/Granted day:2013-04-18
Information query