Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Time-frequency spectrum curve extracting method based on edge detection

A technology of edge detection and extraction method, applied in image data processing, instrumentation, computing and other directions, can solve the problem of only extracting a single curve

Inactive Publication Date: 2015-01-07
UNIV OF ELECTRONIC SCI & TECH OF CHINA
View PDF6 Cites 32 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a time-spectrum curve extraction method based on edge detection, which solves the shortcomings of the existing time-spectrum curve extraction method in the case of significant noise and the problem that only a single curve can be extracted

Method used

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
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Time-frequency spectrum curve extracting method based on edge detection
  • Time-frequency spectrum curve extracting method based on edge detection
  • Time-frequency spectrum curve extracting method based on edge detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0023] Such as figure 1 Shown is the flow of the method for extracting time-frequency spectrum curves based on edge detection in the present invention. The present invention first calculates the kth power of each element of the time-frequency distribution of the signal, and then obtains a matrix containing time-frequency spectrum edge information through an edge detection method, and then obtains a time-frequency spectrum curve by judging the matrix and merging the edge information, The parameters of the curve are estimated in the parameter space established according to the existing curve model, and the extraction of the time-frequency spectrum curve is completed. Compared with the traditional detection method, the present invention makes full use of the structural properties of the time-frequency distribution of the signal, and improves th...

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

PUM

No PUM Login to View More

Abstract

The invention discloses a time-frequency spectrum curve extracting method based on edge detection. The method includes the steps that firstly, a k-order origin moment of signal time-frequency distribution is calculated, then, a matrix containing time-frequency spectrum edge information is acquired according to an edge detection method, a time-frequency spectrum curve is acquired by judging the matrix and combining the edge information, parameter space is established according to an existing curve model so that parameters of the curve are estimated, and the time-frequency spectrum curve is extracted. Compared with a tradition detection method, the time-frequency spectrum curve extracting method has the advantages that the structural attributes of signal time-frequency distribution are fully used, the curve extraction accuracy is improved, and especially under the conditions that the signal to noise ratio is low and multiple time-frequency spectrum bands exist, the time-frequency spectrum curve can still be extracted through the method while the performance of a traditional extraction method is reduced and even the traditional extraction method fails. The performance of the method is better for time-frequency spectrum curve extraction.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and relates to a time-frequency spectrum curve extraction method based on edge detection. Background technique [0002] Time-frequency analysis provides the joint distribution information of the signal time domain and frequency domain, describing the energy and density of the signal at different times and frequencies. Time-frequency analysis has been widely used in almost all fields of engineering technology, such as communication, automation, radar, medicine, geophysics and fault diagnosis. The extraction of the time-frequency spectrum curve is to optimize the time-frequency distribution, and calculate the instantaneous frequency at each moment point-to-point, so as to further study. [0003] At present, the method of extracting time spectrum curve mainly adopts methods such as ridge line extraction and centroid curve extraction. These two methods use the time-frequency distrib...

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

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06T7/00G06T7/13
CPCG06T7/13
Inventor 田坤李晋白启帆范腾皮亦鸣曹宗杰闵锐范录宏
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com