Canonical Polyadic Decomposition Based on a Single Mode Blind Source Separation

Guoxu Zhou, Andrzej Cichocki

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)


A new canonical polyadic (CP) decomposition method is proposed in this letter, where one factor matrix is extracted first by using any standard blind source separation (BSS) method and the remainder components are computed efficiently via sequential singular value decompositions of rank-1 matrices. The new approach provides more interpretable factors and it is extremely efficient for ill-conditioned problems. Especially, it overcomes the bottleneck problems, which often cause very slow convergence speed in CP decompositions. Simulations confirmed the validity and efficiency of the proposed method.

Original languageEnglish
Pages (from-to)523-526
Number of pages4
JournalIEEE Signal Processing Letters
Issue number8
Publication statusPublished - Aug 2012
Externally publishedYes


  • Blind source separation
  • bottleneck problem
  • CP (PARAFAC) decompositions
  • tensor decompositions


Dive into the research topics of 'Canonical Polyadic Decomposition Based on a Single Mode Blind Source Separation'. Together they form a unique fingerprint.

Cite this