Fingerprint database reconstruction based on robust pca for indoor localization

HIGHLIGHTS

  • who: Firstname Lastname and colleagues from the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China have published the Article: Fingerprint Database Reconstruction Based on Robust PCA for Indoor Localization, in the Journal: Sensors 2019, 19, 2537 of /2019/
  • what: In this paper an approach to reconstruct the is proposed with the purpose of mitigating the influences of outliers. The authors propose an improved RPCA model which takes advantage of the prior knowledge of a singular value and could remove outliers and structured noise simultaneously. In view of this problem, exploiting the low . . .

     

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