• DocumentCode
    2482562
  • Title

    Detection method for colored noise submerged in Gaussian noise

  • Author

    Wang, Guiqin ; Wang, Molin ; Qian, Zhihong

  • Author_Institution
    Coll. of Commun. Eng., Jilin Univ., Changchun, China
  • fYear
    2010
  • fDate
    Nov. 30 2010-Dec. 2 2010
  • Firstpage
    517
  • Lastpage
    520
  • Abstract
    For some electronic devices like optoelectron coupled device, it is difficult to detect some colored noises from background noises such as Gaussian noise. The burst noise is a sort of colored noises that are destructive and frequently found in semiconductor devices and ICs, yet detecting the noise has proved to be challenging for device users. A methodological approach is presented in the paper, by which burst noise can be analyzed and detected in time domain, instead of frequency domain. Practical methods to detect colored noise from background noise relies on frequency domain, which may take much of time to complete the work. However, by means of wavelet transform in the time domain and the multi-resolution characters of Gaussian noise, burst noise and blurred burst noise are precisely located and confirmed so that users of some devices does not need to take detection time into account as the practical methods acquired with a great deal of experiment and data statistics.
  • Keywords
    Gaussian noise; burst noise; signal processing; wavelet transforms; Gaussian noise; background noise; blurred burst noise; burst noise; colored noise; frequency domain; multiresolution character; optoelectron coupled device; semiconductor device; wavelet transform; Frequency domain analysis; Gaussian noise; Noise measurement; Wavelet analysis; Wavelet transforms; colored noises; detected; multi-resolution; time domain; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Sciences and Convergence Information Technology (ICCIT), 2010 5th International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-8567-3
  • Electronic_ISBN
    978-89-88678-30-5
  • Type

    conf

  • DOI
    10.1109/ICCIT.2010.5711110
  • Filename
    5711110