Approach to weak signal extraction and detection via sparse representation

Ya-fei TANG; Yun-yong ZHANG; Zhi-bin GUO

doi:10.11959/j.issn.1000-436x.2015302

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Approach to weak signal extraction and detection via sparse representation

Academic paper | 更新时间：2024-06-05

- Approach to weak signal extraction and detection via sparse representation
- Journal on Communications Vol. 36, Issue Z1, Pages: 215-223(2015)
- 作者机构：
  
  中国联通研究院，北京 100032
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-436x.2015302
  CLC： TN911.72
- Online First：2015-11，
  
  Published：25 November 2015
- 稿件说明：
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Ya-fei TANG, Yun-yong ZHANG, Zhi-bin GUO. Approach to weak signal extraction and detection via sparse representation[J]. Journal on Communications, 2015, 36(Z1): 215-223.
DOI：

Ya-fei TANG, Yun-yong ZHANG, Zhi-bin GUO. Approach to weak signal extraction and detection via sparse representation[J]. Journal on Communications, 2015, 36(Z1): 215-223. DOI： 10.11959/j.issn.1000-436x.2015302.

摘要

首先简要介绍了稀疏表达模型以及其常用的求解方法；然后讨论了一种基于稀疏表达的微弱信号提取及检测方法；在此基础上，为了减少时间与空间复杂度，开发了一种快速求解算法；最后给出信号的提取结果以及定性与定量分析，并用大量的实验结果证明讨论的基于稀疏表达的微弱信号提取及检测方法的顽健性与自适应能力。

Abstract

The sparsity models and their popular evaluation algorithms were presented.A sparse representation based approach to weak signal extraction and detection was proposed.Furthermore

a fast algorithm was developed to reduce the computational complexity of the proposed method.In addition

both qualitative and quantitative evaluation methods were designed to analyze the proposed approach.A large number of experiments demonstrate the robustness and the adaptivity of the proposed approach.

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Keywords

references

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