Adaptive Noise Reduction of Biomedical Signals with Improved Multiplication Free Adaptive Digital Filter(<Special Issue>Special Section on Papers Selected from ITC-CSCC 2002)

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概要

• 論文の詳細を見る

• This paper proposes the IMADF (improved multiplication-free adaptive digital filter) algorithm to cancel the background noise that spans nearly all frequency bandwidths in biomedical signals. Under conditions of zero-mean, wide-sense stationary and white Gaussian noise, we analyze the convergence characteristics of the IMADF with a FSE (fractionally-spaced equalizer). In the experimental results, the IMADF algorithm has the advantage in which has superior to a condition of low-frequency and slow data speed. This application gives an important significance in ensuring the objectivity of clinical information and in promoting the representation and the disease diagnosis.

• 社団法人電子情報通信学会の論文
• 2003-06-01

著者

• Lin C

  Department Of Computer Science Semyung University

• Yoon D

  Department Of Electronic Engineering Semyung University

• YOON Dal

  Department of Electronic Engineering, Semyung University

• LIN Chi

  Department of Computer Science, Semyung University

• Lin Chi

  Department Of Computer Science Semyung University

関連論文

• Adaptive Noise Reduction of Biomedical Signals with Improved Multiplication Free Adaptive Digital Filter(Special Section on Papers Selected from ITC-CSCC 2002)
• Semibatch Surfactant - Free Emulsion Polymerization of Butyl Acrylate
• Efficient Spectral Analysis of TDX-Families PCM Signal Acquisition System with the QFT(Special Section on Papers Selected from ITC-CSCC 2002)

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