2009
DOI: 10.1109/tcsi.2008.2004342
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Verifying Functional Specifications by Regression Techniques on Lissajous Test Signatures

Abstract: In this paper, a low-cost method to verify functional specifications of analog VLSI circuits is proposed. The method is based on the analysis of Lissajous signatures combined with regression techniques. In order to obtain Lissajous signatures, the observation space is partitioned into zones using hyperplanes, and a set of integer values used as the digital signature of the circuit is generated by Lissajous curve zone crossings. A predictor function obtained by nonlinear regression techniques predicts the funct… Show more

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Cited by 19 publications
(27 citation statements)
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References 22 publications
(14 reference statements)
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“…Several monitors have been proposed in the past for this purpose [13], [14]. In these approaches, Lissajous curves were previously studied to select the best X-Y partitions delimited by such lines.…”
Section: X-y Zoning Methods Descriptionmentioning
confidence: 99%
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“…Several monitors have been proposed in the past for this purpose [13], [14]. In these approaches, Lissajous curves were previously studied to select the best X-Y partitions delimited by such lines.…”
Section: X-y Zoning Methods Descriptionmentioning
confidence: 99%
“…Recently, a generalization of the monitoring method for multiple variables has been proposed. The study is based on Lissajous compositions in a CUT with multitone excitation [14].…”
Section: Introductionmentioning
confidence: 99%
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“…The chosen tones correspond to filter's center frequency, an octave lower and an octave higher. The inputoutput composition can be considered as an analog signature characterizing the filter and its level of specification compliance [27]- [29]. Fig.…”
Section: A Specifications Space and Alternate Measurements Spacementioning
confidence: 99%
“…In this work, we will use the input/output Lissajous composition method [11] by applying a 3 tone input stimulus to the filter. Such compositions can be considered as an analog signature due to their sensitivity to parametric defects.…”
Section: B Measures Definitionmentioning
confidence: 99%