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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

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

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I was going to improve your formatting with MathJax but couldn't figure out what you meant with g_x_n. – Trygve Laugstøl Jan 6 '13 at 8:34
the nth value of the x gyro -> g sub x sub n – kolosy Jan 6 '13 at 18:27
up vote 3 down vote accepted

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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