The DA Time Bomb

My teaching activities require that I spend a fair amount of time with experiment and measurement practitioners who are using digital data acquisition (DA) as a tool for solving a wide variety of technical problems. Since my courses are aimed largely at those who consider themselves beginners, I am fortunate enough to catch a few investigators before they make any really grave errors. However, more often than I would like (almost every session) I meet one or more practitioners who are acquiring data that are seriously corrupted. Worse, they are completely unaware that this is happening! The cause of the corruption is insidious. And it is lurking nearly everywhere, ready to catch even sophisticated users of digital DA systems. The villain is aliasing.

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