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Five things you should know about root mean square

[Editor’s note : if you are not familiar with Kendall Castor-Perry (aka “The Filter Wizard”) you should be—his regular features often insight, perspectives, and explanations you won’t see elsewhere, and which may give you some of the keys you need you better understand your design challenges and overcome them.]

I really wanted to title this piece ‘Of RMS and the Mean I sing’.  But wise editorial heads have told me more than once that quirky titles don’t draw people in, and that mock erudition will alienate one’s readership.  Now, I know much more about filters than I do about the works of George Bernard Shaw, so I finally dropped the wise-guy title and went with something that highlights the practical value of these five RMS-related nuggets: 

  • RMS is a specific property of a defined segment of signal
  • Filtering is not the same thing as averaging
  • RMS is not always about power
  • RMS is better than mean in a sampled system
  • You can’t filter successive RMS results to improve accuracy


To read the complete article , which explores the above four items in detail, click here .

About the author
Kendall Castor-Perry is a Principal Architect at Cypress Semiconductor,doing mixed-signal system analysis and design for the new PSoC platform.  Kendall uses decades of experience in analog engineering, filtering and signal processing to capture signals across many domains, extract the information from them and do something useful with it.

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