## Abstract This Tutorial is an introduction to statistical design of experiments (DOE) with focus on demonstration of how DOE can be useful to the mass spectrometrist. In contrast with the commonly used one factor at a time approach, DOE methods address the issue of interaction of variables and ar
Design of experiments as a microwave CAD tool
β Scribed by Krishna Naishadham
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 222 KB
- Volume
- 52
- Category
- Article
- ISSN
- 0895-2477
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
With the increase in geometrical and physical complexity of microwave circuits, statistical techniques to reduce the design cycles continue to grow in importance.The objective of this article is to review the theory of a statistical design tool called the design of experiments (DOE) and discuss its utility in developing Computerβaided design models for microwave circuits. A circuit example of DOE application, pertaining to identification of dominant sources of variation in the return loss of a coplanar waveguide flipβchip interconnect package, is reviewed. An empirical design formula is developed for the return loss based on regression analysis, which demonstrates that interaction between factors cannot be neglected, as is the norm in trialanderror analysis using one factor at a time. Β© 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 52: 1020β1024, 2010; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.25133
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