How to Use “Design of Experiments” to Create Robust Designs With High Yield

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In this short video we explain and show how to use the “Design of Experiments” (DOE) methodology to help you create and produce robust designs with first pass success and high yield. This DOE approach is invaluable because it helps you reduce or eliminate design iterations, thus saving you an enormous amount of time and money.

[carlosazevedo]

Hello Jack. I liked a lot your tutorial video and I must say that I didn't knew about this methodology.

I'd like to ask you if it is possible to do this kind of analysis in any EDA tool? For example in Cadence or PSPICE or LTSpice and so on. That is, if this is a general methodology or this DOE function only exists in ADS?

Regards

[KeysightEEsofEDA]

Thanks Carlos! Glad to hear you found the video useful! In general you could use any statistical package that includes a DOE tool in it.  The problem is, it requires many manual steps and data entry from one tool to another, where as in ADS the whole process is fully automated and quick. Give ADS a try--apply for a free 30 day trial at

[KeysightEEsofEDA]

Learn the DOE method and gain first-pass success. Watch this short video and get the ADS workspace that goes with it, plus a pdf tutorial document on DOE. The workspace shows a 2-stage MMIC LTE PA design with DOE analysis. Download now and save it for the future!