• DocumentCode
    3362027
  • Title

    Application of ICA in harmonic retrieval in chaotic noise

  • Author

    Peng, Lu ; Yue, Li ; Chao, Li

  • Author_Institution
    Inst. of Commun. Eng., Jilin Univ., Changchun, China
  • Volume
    3
  • fYear
    2004
  • fDate
    31 Aug.-4 Sept. 2004
  • Firstpage
    2549
  • Abstract
    In this paper, we apply the independent component analysis (ICA) method to the retrieval of harmonic signal from chaotic noise. Our method utilizes the characteristic of ICA that can separate the mixed signals, which are statistic independent, although the chaotic noise was generated by some deterministic system in contrast to the previous methods that constrain the time or amplitude scale of signals, our method can separate the signals from the chaotic noise without such constraint and the knowledge of the deterministic system that generate the chaotic noise. The simulation study has shown that ICA method can extract very weak signal under some well known chaotic background.
  • Keywords
    chaos; harmonics; independent component analysis; signal denoising; source separation; ICA; chaotic noise; harmonic retrieval; independent component analysis; signal amplitude scale; signal extraction; signal separation; statistic independent; Background noise; Chaos; Electrocardiography; Electroencephalography; Independent component analysis; Noise generators; Noise reduction; Signal generators; Statistics; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
  • Print_ISBN
    0-7803-8406-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2004.1442301
  • Filename
    1442301