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Statistical evaluation of digital techniques for Sigma-Delta ADC BIST

Authors :
Dubois, M.
Stratigopoulos, H.
Mir, S.
Barragan, M.
Techniques de l'Informatique et de la Microélectronique pour l'Architecture des systèmes intégrés (TIMA)
Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)
IFIP Advances in Information and Communication Technology, Vol. 464
Techniques of Informatics and Microelectronics for integrated systems Architecture (TIMA)
Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)
Source :
VLSI-SoC: Internet of Things Foundations, VLSI-SoC: Internet of Things Foundations, springer pp.129-148, 2015, 978-3-319-25278-0. ⟨10.1007/978-3-319-25279-78⟩, VLSI-SoC: Internet of Things Foundations, springer pp.129-148, 2015, 978-3-319-25278-0. ⟨10.1007/978-3-319-25279-7 8⟩
Publication Year :
2015
Publisher :
HAL CCSD, 2015.

Abstract

International audience; Digital techniques for an embedded dynamic test of ∑Δ ADCs have been recently presented in the literature. These techniques are based on the use of ∑Δ streams for the stimulation of the ADC. Binary and ternary test stimuli have been proposed. In this chapter, we aim at the validation of these embedded test techniques, comparing the results obtained with the different types of digital stimuli with a standard high-resolution analog sinusoidal stimulus. This validation is done in terms of the expected yield loss and test escapes of the proposed embedded techniques. However, performing this validation at the design stage demands extensive computational resources, which may render electrical simulations infeasible. Thus, we propose an advanced simulation framework for this validation. The proposed simulation strategy relies on a combination of transistor-level simulations, behavioral simulations, and statistical tools.

Details

Language :
English
ISBN :
978-3-319-25278-0
ISBNs :
9783319252780
Database :
OpenAIRE
Journal :
VLSI-SoC: Internet of Things Foundations, VLSI-SoC: Internet of Things Foundations, springer pp.129-148, 2015, 978-3-319-25278-0. ⟨10.1007/978-3-319-25279-78⟩, VLSI-SoC: Internet of Things Foundations, springer pp.129-148, 2015, 978-3-319-25278-0. ⟨10.1007/978-3-319-25279-7 8⟩
Accession number :
edsair.dedup.wf.001..b9ed428a0aca6091dc8735e77440574a
Full Text :
https://doi.org/10.1007/978-3-319-25279-78⟩