*S. Poornachandra

نویسندگان

  • S. Poornachandra
  • N. Kumaravel
  • K. P. Karthikeyan
چکیده

This paper proposes a model for eliminating noise from ECG using α-trimmed thresholding. In this paper, the α-trimmed thresholding tested in the wavelet based Adaptive Filter Model. The Wavelet co-efficients at every sub-band level is made adapted by LMS algorithm to minimum mean square value and thresholded the adapted coefficients. It is shown that the proposed thresholding method offers variable thresholding to remove redundant wavelet coefficients. The proposed model has considered both thresholding and adaptation for smoothing the signal in the wavelet domain. It finds its applications in noise removal technique, Data compression in telemedicine etc.,

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تاریخ انتشار 2003