Semiconductor Modeling : For Simulating Signal, Power, and Electromagnetic Integrity
Semiconductor Modeling: For Simulating Signal, Power, and Electromagnetic Integrity gives designers and engineers a broad view of using semiconductor models to design high-speed circuit boards. Most issues in the field of designing high-frequency circuits, from the beginning of modeling and simulati...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
New York, NY :
Springer US : Imprint: Springer
[20..].
Cham : Springer Nature |
| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Anmerkung: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Semiconductor modeling, for simulating signal, power, and electromagnetic integrity, Roy G. Leventhal,... , Lynne Green,..., New York, NY, Springer, 2006, 1 vol. (xx-766 p.), 978-0-387-24159-3 |
Inhaltsangabe:
- How the Workplace Supports Successful Design to Modeling Concepts Generating Models Model Properties Derived from Device Physics Theory Measuring Model Properties in the Laboratory Using Statistical Data to Characterize Component Populations Selecting Components and Their Models Using Selection Guides to Compare and Contrast Components Using Data Sheets to Compare and Contrast Components Selecting the Best Model for a Simulation Modeling and Simulation in the Design Process Flow About the IBIS Model Key Concepts of the IBIS Specification Using IBIS Models in What-If Simulations Fixing Errors and Omissions in IBIS Models Using EDA Tools to Create and Validate IBIS Models from Spice Managing Models Sources of IBIS Models Working with the Model Library Model Accuracy and Verification Methodology for Verifying Models Verifying Model Accuracy by Using Laboratory Measurements Balancing Accuracy Against Practicality When Correlating Simulation Results Deriving an Equation-Based Model from a Macromodel Future Directions in Modeling The Challenge to Ibis Feedback to the Model Provider Improves Model Accuracy Future Trends in Modeling Using Probability: The Ultimate Future of Simulation