Strangely Small Sampling rates with a 400 MHz Oscilloscope

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Discussion Overview

The discussion revolves around the sampling rate of a 400 MHz oscilloscope being set to a low value (~500 S/s) while measuring a signal with a bandwidth of 625 kHz. Participants explore the implications of this low sampling rate, particularly in relation to potential aliasing and data loss due to filtering.

Discussion Character

  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant questions the rationale behind using a low sampling rate given that the signal is typically represented by about 1 million values per second in other applications.
  • Another participant suggests that the low sampling rate might be intended to limit data transfer and storage requirements.
  • It is noted that the signal's bandwidth is 625 kHz, and the participant confirms they are sampling at 500 Hz.
  • Concerns are raised about undersampling and the potential for erroneous data due to aliasing, referencing the Nyquist frequency.
  • A participant mentions that the signal passes through a preamp with a 3 kHz lowpass filter, questioning whether this would mitigate aliasing issues.
  • Another participant argues that a 3 kHz cutoff is insufficient to prevent aliasing of the 625 kHz signal, emphasizing the need for appropriate anti-aliasing measures.
  • Discussion includes the importance of bandlimiting the input waveform with a lowpass filter and sampling at a frequency at least twice the bandwidth to avoid aliasing.

Areas of Agreement / Disagreement

Participants express differing views on whether the lowpass filter adequately addresses aliasing concerns, with some asserting that it does not sufficiently protect against data loss from the original signal.

Contextual Notes

Participants discuss the implications of the low sampling rate and filtering on data integrity, highlighting the need for careful consideration of sampling and filtering parameters in signal processing.

ThereIam
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I'm doing an experiment using a super fancy oscilloscope. I'm measuring a tiny output voltage that varies with time. I was instructed to make my sampling rate as small as possible (~500S/s).

Now the signal that I'm looking at is, in other applications when its being sent to a computer and not my scope, converted to a table of about 1 million values, generated about once a second. So I'm literally getting 500 of a million values, and I can't wrap my head around why.

Can you guys think of reasons why the sampling rate ought to be so low? (I do trust this guy, very knowledgeable, but he's on vacation). I get the impression that he did NOT think we were needlessly tossing away data, though having more data would obviously be better for what we're doing. It was a practical limitation of the way the scope was receiving the signal, or somethin' like that.

I'm an extreme novice when it comes to electronics.

Thanks.
 
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ThereIam said:
I'm doing an experiment using a super fancy oscilloscope. I'm measuring a tiny output voltage that varies with time. I was instructed to make my sampling rate as small as possible (~500S/s).

Now the signal that I'm looking at is, in other applications when its being sent to a computer and not my scope, converted to a table of about 1 million values, generated about once a second. So I'm literally getting 500 of a million values, and I can't wrap my head around why.

Can you guys think of reasons why the sampling rate ought to be so low? (I do trust this guy, very knowledgeable, but he's on vacation). I get the impression that he did NOT think we were needlessly tossing away data, though having more data would obviously be better for what we're doing. It was a practical limitation of the way the scope was receiving the signal, or somethin' like that.

I'm an extreme novice when it comes to electronics.

Thanks.

Maybe to limit the amount of data that has to be transferred and stored? What is the bandwidth of the signal you are monitoring?
 
Hi, berkeman, thanks for responding.

The bandwidth on the signal I'm monitoring is 625kHz.
 
ThereIam said:
The bandwidth on the signal I'm monitoring is 625kHz.

And you are sampling it at 500Hz?
 
Yes, I am.
 
ThereIam said:
Yes, I am.

Then the signal is undersampled, and you can get erroneous data because of aliasing and other problems:

http://en.wikipedia.org/wiki/Nyquist_frequency

You need to be sampling at least 2x the signal bandwidth, in order not to alias.
 
One thing that I neglected to mention which now makes much more sense to me is that the signal is passing through a preamp with a 3kHz lowpass filter on it... That ought to solve the aliasing problem, right?
 
ThereIam said:
One thing that I neglected to mention which now makes much more sense to me is that the signal is passing through a preamp with a 3kHz lowpass filter on it... That ought to solve the aliasing problem, right?

No, 3kHz is too high to be of help here.

In sampled systems like A/D converters (which is what your oscilloscope has at its front end), you need to adjust your anti-alias filtering and sampling rate so that you do not alias your signal into frequencies that are not there.

You need to bandlimit the input waveform with a lowpass filter with a cutoff frequency B and a sharp skirt, and then sample the input waveform at a frequency at least 2B. If the skirt of the LPF is not very sharp, you will need to move the sampling frequency up above 2B to minimize the amplitude of aliased components.

So in your system, if your 3kHz LPF has sharp skirts, you should be able to sample around 6kHz without much aliasing. However, you have obviously lost much of the information in the original 625kHz signal by passing it through a 3kHz LPF, no?

http://en.wikipedia.org/wiki/Sampling_theorem

.
 
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