Regarding acquiring noise-rejecting/canceling measurements using signal integration vs. single averaging:
One thing we'll want to investigate is integration time, i.e. how long the multiplexer stops on one point, if that is a tunable attribute, and if the intrinsic circuitry of the LabJack does a true signal integration over that time (the "on-DAQ-point-duration"), or if whatever the signal value (voltage) is at the moment before the muxing process steps onto the next point is the one that is registered.
If the latter situation is the case, the only way to get signal averaging to reduce noise is to take multiple measurements during a period of time, store them somewhere temporarily, and then average them before writing to the more formal (final) data register (not sure I'm using the correct terminology, but I imagine you follow my logic generally). The latter case is more programming intensive. However, if the LJ provides for what I'll call "0n-DAQ-point-integration" with some nice API option.
Can someone comment on the Labjack T7-Pro capability for this?
Thanks,
Anna
.png%3Fitok=PHGBxf6M "EEV Blog Reviews LabJack T7-Pro & Software Tools")
.jpg%3Fitok=B1YcuDFK)
.png%3Fitok=Ybt-OlgU "LabJack + JEDI One Can Create a Powerful Distributed DAQ Ecosystem")
The T7-Pro has two converters one is a sigma-delta, the other is a SAR. The sigma delta may be what you are looking for. here is a discussion about differnt types of converters: http://www.analog.com/media/en/training-seminars/tutorials/MT-022.pdf
Additionaly the T7 supports Lua scripts. Using a script you can collect many samples and perform math operations as you see fit. Then read that result.