Matlab
- A programming language and platform for engineers, scientists, and researchers to analyze, visualize, and process data.
- Provides fast, easy execution of complex mathematical operations (e.g., solving linear systems, computing eigenvalues, plotting).
- Includes extensive built-in functions and toolboxes for tasks such as statistical analysis, signal and image processing, and control-system design.
Definition
Section titled “Definition”MATLAB is a programming language and platform designed for engineers, scientists, and researchers to perform data analysis, mathematical modeling, and simulations. It is widely used in academia, research, and industry to analyze, visualize, and process data.
Explanation
Section titled “Explanation”MATLAB enables users to perform complex mathematical operations quickly and with minimal low-level coding. Its extensive library of built-in functions and specialized toolboxes provides ready-made solutions for common tasks—such as statistical analysis, curve fitting, and simulating physical systems—so users can implement complex algorithms without writing all code from scratch. Typical applications include signal processing, image processing, machine learning, and control systems.
Examples
Section titled “Examples”Signal processing (ECG)
Section titled “Signal processing (ECG)”Using MATLAB, you could load ECG data, filter the data to remove noise, and plot the results to visualize the signal. The Signal Processing Toolbox can be used to perform more advanced operations, such as calculating the heart rate from the ECG signal.
Control systems (robot)
Section titled “Control systems (robot)”Using MATLAB, you could model the dynamics of a robot and simulate its behavior under different control inputs. The Control Systems Toolbox can be used to design a controller that stabilizes the robot’s motion and tracks a desired trajectory. Model-Based Design features can automatically generate code for implementing the controller on a physical robot.
Use cases
Section titled “Use cases”- Data analysis, visualization, and processing
- Mathematical modeling and simulations
- Signal processing
- Image processing
- Machine learning
- Control systems
Related terms
Section titled “Related terms”- Signal Processing Toolbox
- Control Systems Toolbox
- Model-Based Design