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Matrix laboratory (MATLAB) is a fourth generation programming language and it provides multi paradigm mathematical computing environs. Math function used for image and signal processing, data analysis, control design, and other applications. It facilitates algorithm implementation, plotting of data and function, user interface creation and interfacing with other languages such as Python, Java, C, C#, C++ and FORTRAN. Additional package of Matlab is Simulink, it is adding model based design and graphical multi domain simulation for embedded and dynamic system. Typically, MATLAB uses includes,
- Algorithm Implementation
- Mathematical and Computation
- Engineering and Scientific Graphics
- Data Analysis, Discovery and Visualization
- Simulation, Modeling and Prototyping
- Development of Applications, Including Build Graphical User Interface (GUI)
- Simulink is a graphical programming environment for modeling, simulating and analyzing multi domain self-motivated system.
- It supports system structure level design, automatic code generation, simulation, continuous verification and test of embedded systems
- It provide customized block libraries, graphical editor, solver for simulating and modeling dynamic systems
- It integrated with MATLAB which is permitting to integrate MATLAB algorithms into simulation models and transfer these results to MATLAB.
Most Important Features in MATLAB:
- It very easy and highly creative software
- It combines high level language with desktop environs for engineering and scientific computing
- Share MATLAB programs by highly free implementation opportunity
- It provide real time environment which creates a center of attention for discovery and exploration
- Desktop environment well-tuned for interactive design, exploration and problem solving
- Build more applications by enhanced tools with custom user interfaces
- Apps for data categorization, curve fitting, signal analysis and more domain related tasks
- Create custom plots using tools and data visualization by graphics
- Interfaces: Java, C/ C++, Python, Hadoop, SQL etc.
Why MATLAB is Highly Dynamic Environment for Scientist and Engineers:
- Supports more Apps
- Integrated Workflows
- Designed for scientist and engineers:
- Speaks Math functions:
- Updated version of toolboxes
- It is provided efficiently developed, field-hardened, meticulously tested and completely documented functionalities
- It uses for extensive range of engineering and scientific applications
- It designed to work simultaneously
- It combines with graphical user interface, parallel computing environment and C code generation
- There are huge amount of toolboxes in MATLAB.
- Network based toolboxes are,
-Vehicular Network Toolbox
-Neural Network Toolbox
-Curve Fitting Toolbox
-Real-Time Windows Target Toolbox
-Signal Processing Toolbox
-Parallel Computing Toolbox
-LTE System Toolbox
-Radio Frequency (RF) Toolbox
We previously provided information about MATLAB, usage of MATLAB, Simulink, MATLAB features, advanced characteristics and toolboxes in MATLAB. If you require more tutorials support and guidance in MATLAB, you can approach our dedicated intelligence at any time by the use of online.
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