Novel grey correlation classifier design method

A technology of correlation classification and design method, applied in the direction of instruments, computing, computer parts, etc., can solve the problems of slope correlation not meeting the norm, difficult to achieve the effect of identification, poor anti-noise ability and so on
CN105550698AActive Publication Date: 2016-05-04SHANGHAI DIANJI UNIV
2 Cites 2 Cited by

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI DIANJI UNIV
Publication Date
2016-05-04

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention provides a novel grey correlation classifier design method comprising the following steps: a grey correlation classifier is designed by use of a gray correlation algorithm; and the initial images of the sequences of the behavior of a system are normalized and equalized, different identification coefficients are given to different signals, and therefore, the ability to restrain the identification coefficients is improved by use of an adaptive identification coefficient.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the fields of electronic countermeasures, signal recognition, and classifier design, and more specifically, the invention relates to a design method of a novel gray relational classifier. Background technique

[0002] Today, with the continuous improvement of anti-reconnaissance and anti-interference technology, the complexity of communication systems and the continuous increase of noise, the individual signal differences are gradually reduced, and the traditional template comparison method has been difficult to complete the task of individual identification of radiation sources. How to realize the identification and classification of radiation source signals in the environment of low and unstable signal-to-noise ratio, the design and selection of classifiers become very important. The main function of classifier design is to make corresponding judgments according to the extracted signal features, so as to realize the classific...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More