Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Time-frequency single source point extraction method in underdetermined blind source separation based on compound angle detection

An underdetermined blind source separation and extraction method technology, applied in the field of time-frequency single source point extraction, to achieve the effect of reducing requirements and improving extraction accuracy

Active Publication Date: 2017-02-22
HARBIN ENG UNIV
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to propose a time-frequency single source point extraction method in underdetermined blind source separation based on complex angle detection in view of the problem that the prior art is limited by source signal sparse specific conditions

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 single source point extraction method in underdetermined blind source separation based on compound angle detection
  • Time-frequency single source point extraction method in underdetermined blind source separation based on compound angle detection
  • Time-frequency single source point extraction method in underdetermined blind source separation based on compound angle detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The present invention will be further described below in conjunction with the accompanying drawings.

[0026] refer to figure 1 , the present invention realizes steps as follows:

[0027] The invention of the present application provides a time-frequency single source point extraction method in underdetermined blind source separation based on complex angle detection, which mainly solves the problem that the prior art is limited by sparse specific conditions when estimating the mixing matrix. The method includes: (1) receiving the observation signal by the receiving sensor; (2) calculating the spatial time-frequency distribution of the observation signal; (3) selecting the time-frequency single source point by the complex angle detection algorithm; (4) removing the time-frequency single source point (5) The adaptive hierarchical clustering algorithm removes noise points, and estimates the column vector of the mixing matrix to verify the correctness of the time-frequency...

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 belongs to the technical field of blind signal separation, and particularly relates to a time-frequency single source point extraction method in underdetermined blind source separation based on compound angle detection. The time-frequency single source point extraction method comprises the steps that a source signal through instantaneous mixing, i.e. an observation signal, is acquired from a receiving sensor; the influence of noise is neglected, and spatial time-frequency distribution of the observation signal is calculated; the compound angle of each sensor receiving signal in the time-frequency domain is calculated; the difference value of the arctangent function of the compound angles of two sensor receiving signal is calculated; and the time-frequency points in a time-frequency single source point set are taken, and noise is removed by a self-adaptive hierarchical clustering method. According to the method, the requirement for the sparsity of the source signal can be reduced, and the extraction precision of the time-frequency single source points can be enhanced so that the extraction problem of the time-frequency single source points in underdetermined blind source separation under the condition of mixing in the time-frequency domain of the source signal can be solved by the method.

Description

technical field [0001] The invention belongs to the technical field of blind signal separation, and in particular relates to a time-frequency single source point extraction method in underdetermined blind source separation based on complex angle detection. Background technique [0002] Blind source separation (BSS) refers to the process of separating source signals only by observation signals received by sensors when the prior knowledge of signal aliasing is not available. This method has been widely used in speech signal separation and recognition, biological signal (such as EEG, ECG) processing, image processing, wireless communication systems and other fields. As a classic algorithm of blind source separation, independent component analysis (ICA) is mostly used to solve the problem under the condition that the number of receiving sensors is equal to or greater than the number of source signals. This kind of blind source separation is called positive definite or overdeterm...

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): G10L21/0208G10L21/0232G10L21/0272
Inventor 国强阮国庆王正忠戚连刚刘武鹏王强波
Owner HARBIN ENG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
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