Abstract
Abstract The defining characteristic of a signal–response system is that the function of the system requires a response variable to take different values when the value of a signal factor changes. The performance of the system depends on the relationship between the signal and the response. Improving signal–response systems using designed experiments is usually approached as a special case of parameter design. This article describes several types of signal–response systems, discusses how their performance depends on the signal–response relationship and presents methodology for analyzing experiments aimed at improving their performance.
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