Examples of using Matlab in English and their translations into Czech
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Colloquial
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Official
Hey, there. Working in MATLAB, I see?
Working in MATLAB, I see? Hey, there.
MATLAB: basics, syntax, matrix operations.
Import, export data,edit the data in Matlab.
Knowledge of MATLAB basic commands and algorithms.
Realization of expert systems in Matlab environment.
Import data from MATLAB, R, Excel, CSV, SQL and other formats.
Simulation of communication channel in Matlab environment.
MATLAB Simulink: examples of power engineering systems simulations.
Introduction to laboratory assignments, MATLAB, a-test.
Matlab to practically verify the system functionality and its performance.
Basic using of the computational system Matlab allowance 6/6.
Software development in the Matlab environment for Gabor signal representation.
Knowledge of the principles of work with modern computer system Matlab.
To parallelize the algorithms, MATLAB Distributed Computing Server and Parallel Computing Toolbox are used.
Mathematical operations and logic functions,basic calculations in Matlab.
The course is also introduction to Matlab and its ability to solve problems of artificial intelligence.
SW probabilistic modeling tools Bayes Net Toolbox for Matlab.
We Implemented the Fiala model into Matlab and tested on experimental data available in the literature.
Its advantage is link to many CAD systems and MATLAB.
Become familiar with the basic concepts andlearn how to use MATLAB for analysis and design of systems and for signal processing.
Implementation of Fiala Thermophysiological Thermal Comfort Model in Matlab.
Visualization in Matlab(OOP/ handle objects, graphics control)|| Complex graphs(object types), graphics, animation, Projects.
Basic knowledge of the principles of modeling static anddynamic processes in MATLAB.
The course will introduce Matlab environment and will teach students to solve simple problems they can face during their further studies or during their professional career.
Modelling of SeSy and TN, application possibilities,limits of tools: MATLAB, SimEvents, OMNeT.
The TORSCHE toolbox is implemented in the Matlab environment, which is suitable for the fast design and testing of new algorithms and it offers a great comfort for the computations with vectors, matrices and sets of numbers or variables.
Generation of basic signals, display, calculation of energy and power,calculation of autocorrelation function in Matlab.
Software for thermal analysis(ESATAN, ESARAD), sw for Strength analysis(Patran/Nastran, Adams, Abaqus),simulations in Matlab, CAD/CAM design Catia, PRO/E,….
Our researchers could offer 20 years of experience of using packages such as ANSYS, LS-DYNA,Comsol Multiphysic or Matlab.