Unlock instant, AI-driven research and patent intelligence for your innovation.

Blind Signal Separation Method in Time-Frequency Domain Based on Joint Zero Diagonalization

A blind signal separation and diagonalization technology, applied in the field of signal processing, can solve the problems of high time complexity affecting the performance of blind source separation, degenerate solutions, etc., to achieve fast and accurate estimation, reduce complexity, and expand the application range

Active Publication Date: 2018-03-06
XIDIAN UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this method avoids the shortcomings of excessive requirements on the target matrix, the disadvantage is that it is easy to obtain a degenerate solution, and the high time complexity affects the performance of blind source separation.

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
  • Blind Signal Separation Method in Time-Frequency Domain Based on Joint Zero Diagonalization
  • Blind Signal Separation Method in Time-Frequency Domain Based on Joint Zero Diagonalization
  • Blind Signal Separation Method in Time-Frequency Domain Based on Joint Zero Diagonalization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The present invention will be further described below in conjunction with accompanying drawing:

[0051] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0052] Step 1, get the observation signal.

[0053] M observation signals from N source signals are received from the electrical signal sensor, wherein each sensor sends an observation signal, M≥N.

[0054] Arrange the observed signals into the observed signal vector x(t)=[x 1 (t),...,x M (t)] T , where x 1 (t),x M (t) respectively represent the first observation signal and the Mth observation signal with the observation time t as the independent variable, M represents the total number of observation signals, and T represents the transposition operation.

[0055] Combine the source signals into a source signal vector s(t)=[s 1 (t),...,s N (t)] T , then the relationship between the observed signal and the source signal is:

[0056] x(t)=As(t)+n(t)

[0057] Amon...

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 present invention discloses a joint zero diagonalization based time-frequency domain blind signal separation method, and solves the problems that an existing method cannot separate or make statistics on related source signals and is high in calculation complexity and easy to converge to a degenerate solution. The method comprises the steps of: (1) acquiring observed signals; (2) acquiring a time-frequency distribution matrix of observed signal vectors; (3) structuring a to-be-estimated target matrix set. (4) estimating a separation matrix by using a product-type joint zero diagonalization method; and (5) separating source signals from the observed signals. Compared with an existing blind signal separation method, the separation method provided by the present invention has lower complexity and is not converged to the degenerate solution; furthermore, the separation method provided by the present invention not only can be used for blind separation of traditionally independent or unrelated source signals, but also can deal with the problem of blind separation of the related source signals; and the separation method provided by the present invention can also be used for blind separation of instantaneous mixtures of deterministic signals and statistics on blind separation of instantaneous mixtures of the related source signals.

Description

technical field [0001] The present invention relates to the technical field of signal processing, and further relates to a time-frequency domain blind signal separation method based on joint zero-diagonalization in the technical field of electrical digital data processing. The invention can be used for blind separation of instantaneous mixing of deterministic signals and blind separation of instantaneous mixing of statistical correlation source signals. Background technique [0002] In signal processing problems such as wireless communication, radar, and sonar, there is often the problem of recovering the source signal from multiple observation signals, and blind signal separation technology provides a potential solution to these problems. Since the separation of multiple source signals by blind signal separation technology does not depend on a specific mixing model and observation receiving model, it is a more practical signal separation technology. The existing algebraic ...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/16
CPCG06F17/16
Inventor 张伟涛张可嘉郭交宫健楼顺天
Owner XIDIAN UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com