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Tune, Sweep, and Optimize Components Defined in Sets of Data Files

Posted October 21st, 2008 · Please leave a comment · Video

A common design task is picking from a candidate list of components, each described by its own data file, such as an S-parameter file. The candidates can come from different members of one product family, or from different vendors, or a mixture. So in general, the characteristics of the candidates are multivariate and unsorted: the task is much harder than optimizing a monotonic, scalar quantity like a resistor value.

What to do?

A sequence of trial-and-error simulations is tedious, time-consuming, and error-prone, especially if you have the multiplicative effect of having several candidates for each of several instances.

Agilent ADS to the rescue! This seven-minute video shows how the DataFileList component (new in ADS 2008 Update 2) lets you quickly and reliably pick the optimum combination of components from your lists of candidates.

Tune, Sweep, and Optimize Data Files Such As S-parameter Files in Agilent ADS

Podcast video version: Tune, Sweep, and Optimize Data Files Such As S-parameter Files in Agilent ADS.

Podcast audio version: Tune, Sweep, and Optimize Data Files Such As S-parameter Files in Agilent ADS.

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