Precise frequency analysis is very important for analyzing the live performance of a control algorithm, so the jitter in the range of a few hundred hertz will not allow you to perform detailed analysis on frequency measurements. How can you achieve precise frequency measurements with a noise of <10 Hz?

As your friend, I must tell you the solution. The solution is in using FFT to measure frequency. However, using your oscilloscope's FFT capability for this will simply result in the same jitter as before. You need to improve the frequency resolution using parabolic interpolation. You need capture your waveform to your PC and then perform FFT with parabolic or Gaussian interpolation for frequency

• Python and Matlab solutions are given here: https://gist.github.com/anubiann00b/97dd05df5f2082fabb53
• If you use LabVIEW (like me), you can use the "extract single tone" vi to accomplish this.

Ballpark analysis is okay if you are looking to get an idea about how the transducer/control algorithm is generally behaving. However, if you are looking to upgrade from the entry level analysis, what I described in this email is essential.