A novel approach to efficient yield estimation for microwave integrated circuits

J.F. Swidzinski · Mansour Keramat · Kai Chang

11 citations0/0 files storedIEEE International Midwest Symposium on Circuits and Systems (MWSCAS)

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Probabilistic and Robust Engineering Design Low-power high-performance VLSI design VLSI and Analog Circuit Testing

Abstract

Latin Hypercube Sampling (LHS) is proposed as an alternative to Primitive Monte Carlo (PMC) for yield analysis. It is shown that the LHS method improves accuracy and confidence in yield estimate and yet requires smaller number of simulations compared to PMC technique. Yield analysis of a 8-12 GHz microwave small signal amplifier demonstrate the viability of the proposed approach.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 11 citations exist upstream.

References

2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 1983A Guide to Simulation 1999Modified Latin Hypercube Sampling Monte Carlo (MLHSMC) Estimation for Average Quality Index

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.