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EADS TELECOM Validates the Feasibility of a Next-Generation Professional Mobile Radio Design with MA

"MATLAB, the Image Acquisition Toolbox, and the Data Acquisition Toolbox saved us more than a month's worth of time because we didn't have to deal with seperate tools for measurement and analysis." - Aure'lie Gaussorgues, EADS TELECOM

Newport Corporation Reduces Data Acquisition and Analysis Time by Hundreds of Hours

"We move up our deadlines because analyzing our data now takes only minutes. MathWorks tools have saved us hundreds of hours in testing time." - Reed Farrar, Newport Corporation

Data Acquisition Toolbox

Acquire and send out data from plug-in data acquisition boards

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Using Data Acquisition Toolbox to acquire an input signal from a data acquisition board directly into MATLAB. The acquired data is displayed simultaneously as a time-domain signal, an instantaneous FFT, and a waterfall plot, making use of MATLAB signal processing and visualization capabilities.

 

Data Acquisition Toolbox™ provides functions for connecting MATLAB® to data acquisition hardware. The toolbox supports a variety of DAQ hardware, including USB, PCI, PCI-Express®, PXI, and PXI-Express devices, from National Instruments, Measurement Computing, Advantech, Data Translation, and other vendors.

With the toolbox you can configure data acquisition hardware and read data into MATLAB and Simulink® for immediate analysis. You can also send out data over analog and digital output channels provided by data acquisition hardware. The toolbox includes functions for controlling analog input, analog output, counter/timer, and digital I/O subsystems of a DAQ device. You can access device-specific features and synchronize data acquired from multiple devices.

You can analyze data as you acquire it or save it for post-processing. You can also automate tests and make iterative updates to your test setup based on analysis results. Simulink blocks included in the toolbox let you stream live data directly into Simulink models, enabling you to verify and validate your models against live measured data as part of your design verification process.

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