• DocumentCode
    1641060
  • Title

    Studies On the Weak Electric Wave Signals of Plants by the Wavelet Analysis

  • Author

    Jinli, Ding ; Lanzhou, Wang ; Haixia, Li ; Dongsheng, Li

  • Author_Institution
    China Jiliang Univ., Hangzhou
  • fYear
    2007
  • Firstpage
    104
  • Lastpage
    107
  • Abstract
    The ´db3´ wavelet was choose as a basis function to decompose the electric wave signals in 5 levels and the low and high frequency coefficients of 6 species plants were obtained, and the coefficients after denoise were reconstructed in this work at the first time. A result of the analysis of the wavelet in plant electric wave signals indicates that plant electric wave signals are of changing of characters in the each frequencies scale. In the low frequency level, the main character of the plant electric wave signal is reflected; the noise of the determined signal and also the mutation of the signal in the high frequency level are reflected respectively. That the denoised signal of plants after wavelet analysis is similar with the original one indicates that the wavelet analysis is fit for the research on the plant electric wave signals. There are between -200~500 muV of the electric wave signals in 6 growing plants.
  • Keywords
    biology computing; signal denoising; wavelet transforms; db3 wavelet; plant electric wave signals; wavelet analysis; weak electric wave signals; Biomedical signal processing; Frequency domain analysis; Low-frequency noise; Noise reduction; Signal analysis; Signal processing; Transient analysis; Wavelet analysis; Wavelet domain; Wavelet transforms; plant electric wave signal; signal processing1 Introduction; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2007. CCC 2007. Chinese
  • Conference_Location
    Hunan
  • Print_ISBN
    978-7-81124-055-9
  • Electronic_ISBN
    978-7-900719-22-5
  • Type

    conf

  • DOI
    10.1109/CHICC.2006.4346914
  • Filename
    4346914