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Below, an overview of the possibilities of Matlab is given. In case you already know the potential of Matlab, you can skip these sections and continue with The user interface.

Matlab is short for Matrix laboratory. Matlab is a programming language and environment that makes use of specialised data types (matrices, in particular).

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In what cases is it advantageous to use Matlab?

Small amounts of data that are acquired and evaluated only once can easily and efficiently be processed with spreadsheed software such as MS Excel or OpenOffice Calc. Afterwards they can be statistically analysed in statistics packages such as Statistica or SPSS. It is seldom worthwile to use Matlab for such tasks.

The use of Matlab is more appropriate in the following cases:

• If you have to evaluate large amounts of data that are acquired automatically by means of computers and other technical appliances. Examples are psychophysical experiments (EEG, fMRI, eye tracking, galvanic skin resistance measurements and the like), internet questionnaires, or log file analyses. In these applications, it is way too laborious to manually preprocess every single data set with a spreadsheet software and export it to a statistics software package. Thus, automating this process by means of a Matlab program will be profitable.
• Moreover, the application of programmed data evaluation routines is a more efficient way if the evaluation procedure has to be changed over and over again to 'fine-tune' it. Re-calculating the whole data set with the changed procedure is then done in a snap.
• Matlab offers a plethora of graphics functions, dedicated statistics functions and other interesting features which are not available in other software packages, or only in limited and unflexible implementations.
• Matlab allows for the programming of user-friendly interfaces for data evaluation programs that are repeatedly used. Thus, complicated data evaluation procedures can also be performed by collaborators who are less skilled with the computer.

Certainly, you can write data evaluation programs in other programming languages such as Visual Basic, C++, or Java, but Matlab is a language designed especially for processing, evaluating and graphical displaying of numerical data. A particular advantage of Matlab is that, contrary to most other languages, it can be used as an «interpreter»: you can enter single commands and have them executed immediately; in this way, you can quickly test how the syntax of the command has to be to yield the desired result. The thus verified commands can then transferred by «copy-and-paste» to your program files. And to execute a program, you do not need to pre-process (compile) it beforehand.

Note to programmers: In spite of this user-friendly interface, Matlab programs are executed almost as fast as program code written in compiling languages such as C++ or Pascal. Moreover, it is even possible to compile Matlab programs and run them «stand alone».

Typical data processing workflow

Below you see the schematic diagram of a typical project, showing which steps are often realised with Matlab.

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