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Kurt Antreich

Researcher at Technische Universität München

Publications -  30
Citations -  1192

Kurt Antreich is an academic researcher from Technische Universität München. The author has contributed to research in topics: Automatic test pattern generation & Integrated circuit design. The author has an hindex of 17, co-authored 30 publications receiving 1162 citations.

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Circuit analysis and optimization driven by worst-case distances

TL;DR: A new deterministic method for parametric circuit design that is based on worst-case distances that uses standard circuit simulators and at the same time considers deterministic design parameters of integrated circuits at reasonable computational costs is presented.
Proceedings ArticleDOI

The sizing rules method for analog integrated circuit design

TL;DR: Results of industrial applications to circuit sizing, design centering, response surface modeling and analog placement show the significance of the sizing rules method.
Journal ArticleDOI

Accelerated Fault Simulation and Fault Grading in Combinational Circuits

TL;DR: Proposals to further accelerate fault simulation and fault grading aim at parallel processing of patterns at all stages of the calculation procedure, at reducing the number of fanout stems for which a fault simulation has to be carried out, and at taking advantage of structural characteristics of the circuit.
Proceedings ArticleDOI

WiCkeD: analog circuit synthesis incorporating mismatch

TL;DR: A method to consider local process variations, which crucially influence the mismatch-sensitive analog components, within a new simulation-based analog synthesis tool called WiCkeD, a university tool used in industry for the design of analog CMOS circuits.
Proceedings ArticleDOI

Mismatch analysis and direct yield optimization by spec-wise linearization and feasibility-guided search

TL;DR: A new method for mismatch analysis and automatic yield optimization of analog integrated circuits with respect to global, local and operational tolerances is presented, guaranteeing effectiveness and efficiency of yield estimation and optimization.