• DocumentCode
    256388
  • Title

    EMD thresholding and denoising inspired by wavelet technique

  • Author

    Elgamel, S.A.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Mil. Tech. Coll., Cairo, Egypt
  • fYear
    2014
  • fDate
    22-23 Dec. 2014
  • Firstpage
    115
  • Lastpage
    118
  • Abstract
    Empirical mode decomposition (EMD) is used as denoising technique to enhance the signal to noise ratio (SNR) for noisy signals. A new EMD denoising algorithm named EMD iterative altering thresholding and denoising (EMD-IATD) based on the traditional EMD thresholding and denoising (EMD-TD) and inspirited Wavelet denoising technique is developed in this paper. The improved SNR of the new EMD-IATD over the traditional EMD-TD algorithm is assessed using range of simulated and real environments.
  • Keywords
    iterative methods; signal denoising; EMD-IATD; SNR; empirical mode decomposition; iterative altering thresholding and denoising; noisy signals; signal to noise ratio; wavelet technique; Abstracts; Noise; Empirical mode decomposition; noise cancellation; signal denoising;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering & Systems (ICCES), 2014 9th International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4799-6593-9
  • Type

    conf

  • DOI
    10.1109/ICCES.2014.7030940
  • Filename
    7030940