• DocumentCode
    1659075
  • Title

    Weak Signal De-noising Method Based on Accumulation in Frequency Domain and Wavelet Transform

  • Author

    Wei Chong Yu ; Zhu Wei Juan

  • Author_Institution
    Qingdao Univ. of Sci. & Technol., Qingdao, China
  • fYear
    2010
  • Firstpage
    130
  • Lastpage
    133
  • Abstract
    Bioradar echoes are often very weak and submerged in noise. The SNR of radar signal is very low. Therefore, echo signal denoising is indispensable for extracting life information. In this paper, the method of weak signal denoising based on the combination of accumulation in frequency domain and wavelet transform is proposed. First, the effectiveness of frequency domain in accumulation and wavelet transform in denoising is presented respectively. Then, the combination of two methods was used to remove noise and extract useful information on the situation of Gaussian white noise. Simulation results show that the method can restrain the noise and extract useful signal effectively in low SNR.
  • Keywords
    Gaussian noise; echo; information retrieval; radar signal processing; signal denoising; wavelet transforms; white noise; Gaussian white noise; bioradar echo; echo signal denoising; frequency domain; information extraction; radar signal; wavelet transform; Frequency domain analysis; Noise reduction; Signal to noise ratio; Wavelet domain; Wavelet transforms; Accumulation in frequence doman; wavelet; weak signal denoising;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing (ISIP), 2010 Third International Symposium on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-8627-4
  • Type

    conf

  • DOI
    10.1109/ISIP.2010.49
  • Filename
    5669016