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Characterization of a pseudo-random testing technique for analog and mixed-signal built-in-self-test

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4 Author(s)
J. A. Tofte ; Mentor Graphics Corp., Wilsonville, OR, USA ; Chee-Kian Ong ; Jiun-Lang Huang ; Kwang-Ting Cheng

In this paper, we characterize and evaluate the effectiveness of a pseudo-random-based implicit functional testing technique for analog and mixed-signal circuits. The analog test problem is transformed into the digital domain by embedding the device-under-test (DUT) between a digital-to-analog-converter and an analog-to-digital converter. The pseudo-random testing technique uses band-limited digital white noise (pseudo-random-patterns) as input stimulus. The signature is constructed by computing the cross-correlation between the digitized output response and the pseudo-random input sequence. We have implemented a DSP-based hardware testbed to evaluate the effectiveness of the pseudo-random testing technique. Our results show that we can achieve close to 100% yield and fault coverages by carefully selecting only two cross-correlation samples. Noise level and total harmonic distortion below 0.1% and 0.5%, respectively, do not affect the classification accuracy

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VLSI Test Symposium, 2000. Proceedings. 18th IEEE

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