I'm trying to measure whether a gyro i'm using is damaged. I've got raw data coming off, and a total RMS noise value from the data sheet of 0.38 deg/s-rms. I'd like to look at the raw data and compare it to this value. Is it really just a matter of root-mean square of the raw data, or is there some more complex formula?

right now i'm doing

$$\sqrt{\frac{1}{n} \sum_{i=1}^{n} Gx_k}$$

  • \$\begingroup\$ I was going to improve your formatting with MathJax but couldn't figure out what you meant with g_x_n. \$\endgroup\$ Commented Jan 6, 2013 at 8:34
  • \$\begingroup\$ the nth value of the x gyro -> g sub x sub n \$\endgroup\$
    – kolosy
    Commented Jan 6, 2013 at 18:27

1 Answer 1


Noise is added as RSS (Root Sum of Squares) but the noise itself is calculated as the sqrt (variance) - AKA the 1 sigma - the standard deviation.

Vn = sqrt(average((X-u)^2)) -> u = mean(X)


Vn = sqrt(average(X^2) -(average(X)^2)


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