Statistical construction of accurate CAD models using measured data
β Scribed by Krishna Naishadham; William Leiker
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 740 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0895-2477
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
Component models available in CAD software do not consider the statistical variation and the layoutβ or packageβspecific parasitic effects of components. Because of the complexity of device packages, the wellβestablished EM simulation alternative can only be applied to relatively simple circuits. This Letter presents a methodology to construct statistically a representative component model from a measured database, and show how such a model can be used in a circuit simulator for effective circuit design. All the parasitic effects of the circuit components are incorporated through measurements. Β© 2002 Wiley Periodicals, Inc. Microwave Opt Technol Lett 33: 233β238, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.10284
π SIMILAR VOLUMES
A new simpli"ed approach to modelling cracks in beams undergoing transverse vibration is presented. The modelling approach uses Euler}Bernoulli beam elements with small modi"cations to the local #exibility in the vicinity of cracks. This crack model is then used to estimate the crack locations and s
## Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a βFull Textβ option. The original article is trackable v
The objective of this study is to evaluate and to compare some of the statistical models for the monthly prediction of clear-air scintillation variance and amplitude from ground meteorological measurements. Two new statistical methods, namely the direct and the modelled physical-statistical predicti
## Abstract We investigate the use of general, non-l Β 2 measures of data misfit and model structure in the solution of the non-linear inverse problem. Of particular interest are robust measures of data misfit, and measures of model structure which enable piecewise-constant models to be constructed.