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Matlab Toolbox


Matlab Toolbox by SINUS Messtechnik GmbH

Control of Multi-Channel Measurement and Analysis Solutions

Vibration Measurement + Analysis

The Measurement Toolbox for MATLAB® (SMT) enables the SINUS multi-channel data acquisition and analysis systems, including Soundbook™, Apollo™, Tornado™ and Typhoon™ to be directly controlled from within MATLAB which then enables the full power, flexibility and high performance of MATLAB, the most important software tool in the field of technical computing, to be harnessed by the user.

The SMT is not just a file export interface delivering data in a MATLAB-readable format: it provides MATLAB programmers with an easy-to-use control interface which also allows data to be accessed both during and after the data acquisition. The SMT implements a consistent interface between MATLAB and the various families of SINUS multi-channel  instruments.

Various types of applications are possible using MATLAB SMT

Using MATLAB SMT, the SINUS multi-channel hardware can be directly controlled from the MATLAB command line or from user-written functions. In addition to running programs in the interpreter mode, as is possible for every user having a MATLAB license, the MATLAB programs can also be compiled. The license-freedom of such programs is of considerable economic importance for the end-user.

SINUS Messtechnik GmbH is a Connections Program Partner of the MathWorks Inc., and participates in the development of customised MATLAB applications.

The application developer is provided with a clear and consistent conceptual model, and does not have to spend an inordinate amount of time learning device-specific interface procedures and data structures. SMT software enables the user to easily exploit SINUS multi-channel  devices with a minimum of programming.

Three concepts are fundamental to the MATLAB SMT:

  1. Devices – physical or virtual (file) devices
  2. Channels – logical data streams from or to the device
  3. Properties – defined attributes of devices and channels which can be read and (where appropriate) set

The key characteristics of the MATLAB SMT are:

  • Reliable and stable foundation for application programming
  • Independence from operating system and drivers
  • Large degree of software reusability and accelerated development
  • Simplified data acquisition with scalable number of physical/logical channels
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