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Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 2
588-592

Underdetermined mixing matrix estimation algorithm using GASA-FCM based mixing clustering and Hough transform

Li Hu
Xu Yan
School of Electronic & Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
DOI: 10.19734/j.issn.1001-3695.2017.10.0932

Abstract

With regards to the low precision and poor robustness of fuzzy C-means clustering algorithm(FCM) in the underdetermined mixing matrix estimation, this paper proposed an algorithm using genetic simulated annealing optimized FCM based mixed clustering with Hough transform to solve underdetermined mixing matrix estimation. It could combine the global search, high-precision advantages of SA and powerful search ability of space of GA, FCM assigned the clustering center point obtained by genetic simulated annealing algorithm, which avoided the randomness of initial selection. The center of each kind of data obtained by clustering by Hough transform is modified to improve the estimation accuracy of the mixing matrix. Experimental results show that the proposed algorithm significantly improves the stability of the algorithm and the accuracy of the mixing matrix estimation, and has certain validity and feasibility.

Foundation Support

国家自然科学基金资助项目(61461024)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.10.0932
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Technology of Information Security
Pages: 588-592
Serial Number: 1001-3695(2019)02-059-0588-05

Publish History

[2019-02-05] Printed Article

Cite This Article

李虎, 徐岩. 基于GASA-FCM混合聚类与霍夫变换的欠定混合矩阵估计 [J]. 计算机应用研究, 2019, 36 (2): 588-592. (Li Hu, Xu Yan. Underdetermined mixing matrix estimation algorithm using GASA-FCM based mixing clustering and Hough transform [J]. Application Research of Computers, 2019, 36 (2): 588-592. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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