Analog metrology and stimulus selection in a noisy environment

Chauchin Su, Yue-Tsang Chen, Chung-Len Lee · 2003

In this paper an analog metrology and test stimulus selection guidelines are proposed based on the frequency domain analysis of the stimulus and the CUT. To show the feasibility, a 4th order leapfrog filter and a DSP deconvolution operation are used as the test vehicle. The experimental results on the real measured data show that the increase in observation periods can effectively compensate the increase in the environment noise.

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