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http://dx.doi.org/10.6109/JKIICE.2009.13.10.2205

Detection of Inflection Point of Waveform by Wavelet Threshold Denoising  

Kim, Tae-Soo (위덕대학교 정보통신공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.13, no.10, 2009 , pp. 2205-2210 More about this Journal
Abstract
In this paper, the proposed method is a denoising technology by tangent curve interpolation of zero points. The problem of the hard threshold method is improved by the proposed method. The quantity of time fluctuation of the electromagnetic signal as the quantity of electric fluctuation of the natural world or the curve of motion waveform of the fast movement of human extracted using virtual reality is, in fact, complex. Therefore it is important to decide exactly the signal properties as the inflection point for observation signal. In particular, it is necessary to extract the properties after denoising, since the measurement signal of the natural world include some noises. It shows that the noise of the inflection point signal with noise II, noise factor 5, is eliminated by the proposed method, and the result of SNR for the signal is improved 3.4dB than that by the conventional hard threshold.
Keywords
Wavelet 변환;hard 임계치;잡음제거;변곡점 검출;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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