무선센서네트워크에 적합한 진동센서 De-noising 방법에 관한 연구

다국어 초록 (Multilingual Abstract)

Acoustic signal power of footsteps is relatively small than external noise and easy to stash, while the seismic signal of the footsteps is large and hard to eliminate. Thus, seismic sensor is suitable to detect human footsteps for Wireless Sensor Network. In order to increase the detection range of seismic sensor, Wavelet De-noising Method has widely used. For applying Wavelet De-noising method to real-time Embedded system, it is needed to optimize the decomposition level of Filter-Bank and minimize sampling frequency. In this paper, the optimum Wavelet decomposition level and De-noising method are presented. In addition, the proposed method is verified with fixed-point model.

참고문헌 (Reference)

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