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author:

Gan, Zhenhua (Gan, Zhenhua.) [1] | Xiong, Baoping (Xiong, Baoping.) [2] | Zou, Fumin (Zou, Fumin.) [3] | Gao, Yueming (Gao, Yueming.) [4] (Scholars:高跃明) | Du, Min (Du, Min.) [5]

Indexed by:

CPCI-S

Abstract:

Due to the uncertainty of elements in the random matrix, the design of composite probes on compressed sensing microarray (CSM) becomes more complexity. In this paper, we proposed a sparse random measurement matrix with ` 0/ 1' binary element, and fixed the same amount of elements ` 1' on each row, to construct the CSM composite probe. There is the same dilution for the mixed solution of target segments to ensure the consistency of gene concentration, so the composite probes which made up of the linear combination of target segments are very simple. Simulation experiment results show that the variation characteristics of the target segment can be accurately recovered by OMP algorithm under N = 96 sequence segments and variation sparsity level K <= 12, when M = 48 composite probes are constructed with a sparse random matrix fixed amount of non-zero elements each row.

Keyword:

Composite probe Compressed sensing Microarray OMP Sparse random matrix

Community:

  • [ 1 ] [Gan, Zhenhua]Fujian Univ Technol, Coll Informat Sci & Engn, 3 Xueyuan Rd, Fuzhou, Fujian, Peoples R China
  • [ 2 ] [Xiong, Baoping]Fujian Univ Technol, Coll Informat Sci & Engn, 3 Xueyuan Rd, Fuzhou, Fujian, Peoples R China
  • [ 3 ] [Zou, Fumin]Fujian Univ Technol, Coll Informat Sci & Engn, 3 Xueyuan Rd, Fuzhou, Fujian, Peoples R China
  • [ 4 ] [Gan, Zhenhua]Fuzhou Univ, Coll Elect Engn & Automat, 2 Xueyuan Rd, Fuzhou, Fujian Province, Peoples R China
  • [ 5 ] [Du, Min]Fuzhou Univ, Coll Elect Engn & Automat, 2 Xueyuan Rd, Fuzhou, Fujian Province, Peoples R China
  • [ 6 ] [Xiong, Baoping]Fuzhou Univ, Coll Phys & Informat Engn, 2 Xueyuan Rd, Fuzhou, Fujian, Peoples R China
  • [ 7 ] [Gao, Yueming]Fuzhou Univ, Coll Phys & Informat Engn, 2 Xueyuan Rd, Fuzhou, Fujian, Peoples R China
  • [ 8 ] [Du, Min]Fuzhou Univ, Coll Phys & Informat Engn, 2 Xueyuan Rd, Fuzhou, Fujian, Peoples R China
  • [ 9 ] [Gan, Zhenhua]Key Lab Automot Elect & Elect Drive Technol Fujia, 3 Xueyuan Rd, Fuzhou, Fujian, Peoples R China
  • [ 10 ] [Zou, Fumin]Key Lab Automot Elect & Elect Drive Technol Fujia, 3 Xueyuan Rd, Fuzhou, Fujian, Peoples R China

Reprint 's Address:

  • [Zou, Fumin]Fujian Univ Technol, Coll Informat Sci & Engn, 3 Xueyuan Rd, Fuzhou, Fujian, Peoples R China;;[Zou, Fumin]Key Lab Automot Elect & Elect Drive Technol Fujia, 3 Xueyuan Rd, Fuzhou, Fujian, Peoples R China

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Source :

INTELLIGENT DATA ANALYSIS AND APPLICATIONS, (ECC 2016)

ISSN: 2194-5357

Year: 2017

Volume: 535

Page: 26-34

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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