Pure signal analyzing method in multivariable system

A technology of multivariate system and analysis method, which is applied in the field of multivariate statistical analysis and can solve problems such as unused

Inactive Publication Date: 2011-06-01
GUANGXI UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

However, in various regression modeling methods, such important information is not used, and a series of samples must be established to meet the regression requirements by testing the content of the analyte and the response of the mixed system

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  • Pure signal analyzing method in multivariable system
  • Pure signal analyzing method in multivariable system
  • Pure signal analyzing method in multivariable system

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Embodiment Construction

[0065] A pure signal analysis method in a multivariate system, the method uses a data space to describe a multivariate system, and divides the data space M into a subspace S spanned by a vector s of the variable of interest and a subspace composed of the rest The adjacent subspace H formed by the vector of variables, that is, M=S H; the data space M is a multivariate system, the subspace S of the variable of interest is the pure signal of the variable of interest in the multivariate system, and the adjacent subspace H of the remaining variables is other signals in the multivariate system ; Then use the vector s of the variable of interest in the known modeling sample and the adjacent subspace H of other variables as the core relationship to establish a pure signal separation model, through which the pure signal separation model can be obtained from other unknown data spaces M In this method, the pure signal of the variable of interest is separated. The pure signal separation...

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Abstract

The invention discloses a pure signal analyzing method in a multivariable system, which relates to chemometrics and a process analyzing method. The method comprises the following steps of: describing the multivariable system by adopting a data space, wherein the data space M is divided into a sub space S spanned by the vector s of a concerned variable and adjacent sub spaces H spanned by the vectors of the other variables, namely M is equal to SH, the data space M is the multivariable system, the sub space S of the concerned variable is a pure signal of the concerned variable in the multivariable system, and the adjacent sub spaces H of the other variables are the other signals in the multivariable system; and establishing a pure signal separation model according to the core relation between the vector s of the concerned variable and the adjacent sub spaces H of the other variables in a known modeling sample, so that the pure signal of the concerned variable can be separated out from the other unknown data spaces M through the pure signal separation model. By the method, a concerned signal can be acquired and purified from mixed signals, so the method is very suitable for chemical analysis.

Description

technical field [0001] The present invention relates to a multivariate statistical analysis method in Chemometrics and Process Analytical Technology (PAT for short), specifically a method capable of obtaining and purifying signals of concern from mixed signals, in a multivariate system In , the pure signal analysis method in the multivariate system realizes the information separation of the measured components through algorithm calculation. Background technique [0002] The information provided by the real world is usually mixed information from multiple information sources. In the description of the system or system, it is called a multi-component (multi-variable) problem. In analytical chemistry, the simultaneous determination of multiple components of a system or the processing of multiple sensing signals are also frequently encountered problems. Multivariate (statistical) analysis methods play an important role in solving multicomponent problems. [0003] At present, t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G01N21/25
Inventor 姚志湘粟晖
Owner GUANGXI UNIVERSITY OF TECHNOLOGY
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