Underdetermined blind separation source signal recovery method based on SCMP (Subspace Complementary Matching Pursuit) algorithm

A technology of underdetermined blind separation and recovery method, which is applied in the field of source signal recovery of underdetermined blind separation and source signal recovery in underdetermined blind separation systems, which can solve the problem of high algorithm accuracy, reduced accuracy, and can not be well balanced. and other problems to achieve the effect of reducing complexity, shortening time and improving accuracy

Inactive Publication Date: 2015-03-04
XIDIAN UNIV +1
View PDF3 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Compared with the original algorithm, this algorithm reduces the complexity of the algorithm, but at the same time, the accuracy of the algorithm is also reduced
[0004] None of the above algorithms can balance low algorithm complexity and high algorithm accuracy well.

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
  • Underdetermined blind separation source signal recovery method based on SCMP (Subspace Complementary Matching Pursuit) algorithm
  • Underdetermined blind separation source signal recovery method based on SCMP (Subspace Complementary Matching Pursuit) algorithm
  • Underdetermined blind separation source signal recovery method based on SCMP (Subspace Complementary Matching Pursuit) algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The embodiments of the present invention will be described in detail below in conjunction with the drawings and examples. The drawings described here are used to provide a further understanding of the present invention and constitute a part of the application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention. Invention does not constitute a limitation of the present invention.

[0023] refer to figure 1 , the implementation steps of the present invention are as follows:

[0024] Step 1: Receive the mixed signal x(t) to be separated through the sensor, and use the mixing matrix estimation method to estimate the mixing matrix A.

[0025] refer to figure 2 , the specific implementation of this step is as follows:

[0026] (1a) Check whether the value of each column of the received mixed signal X(t) is all 0 values, if yes, remove the column signal, if not, keep the column signal, and obtain the processe...

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 an underdetermined blind separation source signal recovery method based on an SCMP (Subspace Complementary Matching Pursuit) algorithm, and mainly solves the problems of high complexity and low recovery precision in an existing underdetermined blind separation technology. The method comprises the following steps: 1, performing QR decomposition on transpose AT of a mixed matrix to obtain matrix space SA and corresponding orthogonal complement space described in the specification; 2, working out the component s1 of a source signal in the space SA by a received signal x(t); 3, searching the positions of N-M zero elements in the source signal s by an approximate l[0] norm process according to complementary properties of the source signal in the space SA and the space described in the specification; 4, working out other M elements by the complementary properties according to the searched positions of the N-M zero elements to obtain a recovery signal. The method is high in search speed and recovery precision and can be used in the fields of communication, signal processing and the like.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and particularly relates to a method for recovering source signals of underdetermined blind separation, which can be used for recovering source signals in underdetermined blind separation systems. Background technique [0002] Underdetermined blind source separation is to estimate the source signal only based on the observed signal when nothing is known about the aliasing channel and the number of observed signals is smaller than the number of source signals. Underdetermined blind separation has been widely used in military communications, image processing, medical signal processing and many other fields. Moreover, underdetermined blind separation has many potential applications, so it has become a research hotspot in the field of signal processing in recent years. The existing underdetermined blind source separation usually adopts a two-stage method, that is, the observation signal is...

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 Applications(China)
IPC IPC(8): G06F19/00
Inventor 付卫红陈杰虎刘乃安胡梅霞黑永强熊超杨博
Owner XIDIAN 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
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap