These examples show you how to interact with National Instruments devices using MATLAB.
The focus is Vidrio's free DAQmx wrapper, dabs.ni.daqmx
.
Also supplied are some contrasting examples using The Mathworks Data Acquisition Toolbox.
All examples require a Windows machine.
The MATLAB Data Acquisition Toolbox is the most common way of handling data acquisition in MATLAB.
However, with NI hardware you can also use the free dabs.ni.daqmx
wrapper that is part of ScanImage.
This is a thin, object-oriented wrapper that provides access to almost the full DAQmx API.
This may be particularly helpful to those who are used to the ScanImage API and it works pretty well.
Alternatively, you can call the DAQmx library more directly using the .NET interface.
Example code for this is in the nidaqmx
module (i.e. the +nidaqmx
directory).
The Vidrio wrapper is a little more similar to the call structure you will find in Python, but it requires a ScanImage install (free).
The .NET interface requires you to have installed .NET support when you installed DAQmx.
In addition to dabs.ni.daqmx
, ScanImage also supplies an FPGA interface wrapper (dabs.ni.rio
) which can be used to run a bitfile compiled using LabVIEW FPGA on any NI RIO FPGA target.
The NI VISA wrapper (dabs.ni.visa
) connects to and communicates with devices that support NI's VISA interface (such as oscilloscopes).
This currently supports only a small subset of the NI VISA API.
This repository contains a bunch of NI DAQmx examples using both the MATLAB DAQ toolbox and the dabs.ni.daqmx
wrapper.
The examples provided here overlap with those provided by Vidrio in dabs.ni.daqmx.demos
, but are more up to date and more extensively commented.
The DAQmx_ANSI_C_examples
directory is for convenience and contains copies of some of the examples installed along with DAQmx.
The basicConcepts
directory illustrates some of the more advanced programming concepts which crop up.
- Download ScanImage and add its root directory to your MATLAB path.
- Install the supported version of DAQmx. For example, ScanImage 5.2 requires v15.5.
- Add the examples in this repository to your path or
cd
to thecode
directory to run the examples. - You may create simulated devices in NI MAX to run the examples on a machine with no NI hardware connected. Triggers do not work in simulated mode: they fire immediately. Simulated mode also works in a virtual machine.
By default all examples will run on NI DAQ device Dev1
.
In each example this device ID is defined by a variable called devName
near the start of the function.
You will therefore either need a DAQ device called Dev1
or you will need to edit the code accordingly.
You can see which devices are connected in NI MAX or by running: vidrio.listDeviceIDs
at the MATLAB command line.
For each example, first look at the help text (e.g. help vidrio.AO.softwareTimedVoltage
) then run at the MATLAB command-line. e.g.
>> vidrio.AO.softwareTimedVoltage
There are further comments in-line so open the example in an editor to learn more. Examples have been tested with an NI PCI-6229 and PXIe-6341. Many examples have also been verified to work with a simulated NI PCIe-6341. Not all examples work on all boards (e.g. the re-triggerable example requires an X-Series board). You may simply get errors with certain combinations of cards and examples. e.g. With a PCI-6115, certain buffered examples will complain that the sample rate is too low so you will need to modify this.
vidrio.listDeviceIDs
- shows how to list available device and query them to obtain detailed information
vidrio.AO.softwareTimedVoltage
- software-timed ("on demand") analog outputvidrio.AO.hardwareFiniteVoltage
- hardware-timed analog output (using the on-board clock) of a fixed number of pointsvidrio.AO.hardwareContinuousVoltage
- basic continuous analog output with the on-board clockvidrio.AO.hardwareContinuousVoltageNoRegen
- basic continuous analog output with the on-board clock that recycles the output buffervidrio.AO.hardwareContinuousVoltageNoRegen_DigTrig
- Continuous analog output that is hardware triggered by a digital (TTL) rising edgevidrio.AI.softwareTimedVoltage
- software-timed ("on demand") analog inputvidrio.AI.hardwareFiniteVoltage
- hardware-timed analog input (using the on-board clock) of a fixed number of pointsvidrio.AI.hardwareContinuousVoltage
- A simple example showing hardware-timed continuous analog input with no callback functionsvidrio.AI.hardwareContinuousVoltageWithCallBack
- Hardware-timed continuous analog input with a callback function. Acq ends when figure is closed.vidrio.mixed.AOandAI
- continuous AI and AO that run simultaneously and in sync.
vidrio.DO.softwareBasic
- simple on-demand digital outputvidrio.CO.singlePulse
- create a single digital pulse using a counter task
vidrio.mixed.AOandAI_OO
- Interactive continuous AI and AO using object-oriented programming.vidrio.mixed.AOandAI_OO_sharedClock
- Interactive continuous AI and AO with shared clock between AO and AI.- For retriggerable tasks see
vidrio.mixed.DO_retriggerable
andvidrio.mixed.AO_retriggerable
vidrio.sync
is a demo package showing how to synchronise two DAQ devices and why you need to do so.
The use of try
/catch
blocks should ensure the DAQmx tasks always shut down cleanly.
If they do not:
- If the DAQ device claims to be in use, you can reset it using MAX.
- If you end up with orphan tasks, you will have to close and re-open MATLAB.
- Using NI-DAQmx in Text Based Programming Environments
- DAQmx C Reference help and C functions listing
- See SimpleMScanner for basic 2-photon scanning software written using the techniques shown here.
- Official Python NI DAQmx
- PyDAQmx
- A wrapper for PyDAQmx
- Calling the DAQmx dll directly from Python and Perl
- For ANSI C examples look in
C:\Users\Public\Documents\National Instruments\NI-DAQ\Examples
- You can find side-by-side examples of how DAQmx works in different languages here.
- Learn 10 Functions in NI-DAQmx and Handle 80 Percent of Your Data Acquisition Applications