Question on sampling frequency/low pass filter

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SUMMARY

The discussion focuses on the relationship between sampling frequency and low pass filtering in signal processing. A high sampling rate of 100Hz is compared to a lower rate of 0.5Hz, with an emphasis on the importance of filtering out noise in the 1-15Hz range when analyzing slow movements at 0.004Hz. It is concluded that while a lower sampling rate may suffice if an analog filter is applied beforehand, higher sampling rates simplify the filtering process and reduce the risk of aliasing, making them preferable in practice.

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  • Understanding of Nyquist theorem and aliasing
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  • Research analog filter design techniques for effective noise reduction
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This discussion is beneficial for signal processing engineers, data analysts, and researchers interested in optimizing data collection methods and improving the accuracy of low-frequency signal analysis.

hob
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Hi all,

I have a question relating to sample rates and data filtering.

I have a (relatively) high sampling rate of 100Hz, there is some high frequency "noise" present that acts over the range of 1-15Hz.

My question is, given that I am interested in much lower frequencies (slow movement around 250 seconds /4x10^-3 Hz) is there anything to be obtained from higher frequency sampling?

I.e provided my sample rate is sufficiently high (say 0.5Hz) and I apply a low pass filter (at 0.25Hz) to prevent aliasing, is there any more to be gained compared with higher freq logging with a low pass filter at 1Hz?
 
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The answer depends on the power spectrum of the measured data, and the effects of aliasing when you sample the data.

As an extreme example, suppose the signal you are interested in at 0.004 Hz has an amplitude of about 1, but there is a noise signal at about 10 Hz with amplitude 10.

if you sample at about 0.5Hz, the sampled data will be mainly the noise, and the 10 Hz will be aliased to some frequency between 0 and 0.25Hz (the Nyquist frequency). That may cause problems when you filter the data.

On the other hand if you sampled at 100 Hz, if would be trivial to filter out the noise at 10 Hz.

Actually, in real life the best technique is often to use an analog filter before sampling, to make sure there that aliasing won't happen. If you did that, a sample rate of 0.5 Hz (or even lower) would probably be OK.
 

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