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Detection of Inflection Point of Waveform Using Wavelet Thresholding and Natural Observation Filter  

Kim, Tae-Soo (Division of Information and Communication Engineering, Uiduk University)
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Abstract
The curve of motion indicated to waveform of the fast movement of human extracted using virtual reality or the quantity of time fluctuation of the electromagnetic signal as the quantity of electric fluctuation of the atmosphere is complex. It is important to decide exactly the signal property as the inflection point for the observation signal. When the signal is mixed by noise signal, the traditional method is difficult to detect the inflection point. In this paper the noisy signal is eliminated by wavelet thresholding method and the filter using natural observation theorem is applied. It shows that the inflection point of the signal waveform can be detected exactly.
Keywords
Wavelet thresholding; Inflection point; Natural observation filter;
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