- Use hardware timestamps if available to align data precisely.
- Implement continuous streaming to avoid starting/stopping latency.
- Employ hardware triggering to synchronize input and output channels.
- Utilize dedicated synchronization lines for clock alignment.
- Pre-fill the output buffer to minimize initial latency.
- Ensure consistent sampling rates and use the hardware clock for timing.
- If hardware solutions fail, use software compensation with functions like "finddelay" to align signals post-acquisition, automating this process in MATLAB if necessary.
Data Translation DT9857E variable IO latency
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Karol Bugaj
am 27 Mär. 2023
Kommentiert: Karol Bugaj
am 8 Feb. 2024
Hi,
I'm using DT9857E with 1 OUT (sig gen) and 2 IN (IEPE Mics) channels to capture data into MATLAB - I am using the DT hardware Toolbox.
I have found that the system I/O latency changes from measuement to measurement making it difficult to use multiple repeats of the same measurement for data processing, as the signals are not synchronous between measurements.
I used implementation of background as well as foreground measurements from the DAQ toolbox and the result is the same - variable system latency.
I checked that by creating a loopback channel from OUT0 to another channel (IN3) and run 3 separate measurements. Then computed delay between measurements using finddelay MATLAB function. Each measurement is shifted between one another by a different (unpredictable) number of samples.
Is there any fix for that, or should I always run a finddely function and then adjust the signals so they are in sync ?
Appreciate any help,
Karol
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Pratyush
am 8 Feb. 2024
Hi Karol,
To address variable system latency in data acquisition with the DT9857E device in MATLAB, you can try the following approaches:
Hope this helps.
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