MATLAB Is Designed product for Engineers and Scientists

Millions of engineers and scientists worldwide use MATLAB to analyze and design the systems and products transforming our world. MATLAB is in automobile active safety systems, interplanetary spacecraft, health monitoring devices, smart power grids, and LTE cellular networks. It is used for machine learning, signal processing, image processing, computer vision, communications, computational finance, control design, robotics, and much more.

MATLAB and Simulink are used throughout the automotive, aerospace, communications, electronics, and industrial automation industries as fundamental tools for research and development.

The MATLAB platform is optimized for solving engineering and scientific problems. The matrix-based MATLAB language is the world’s most natural way to express computational mathematics. Built-in graphics make it easy to visualize and gain insights from data. A vast library of prebuilt toolboxes lets you get started right away with algorithms essential to your domain. The desktop environment invites experimentation, exploration, and discovery. These MATLAB tools and capabilities are all rigorously tested and designed to work together.

 MATLAB Speaks Math : Engineers and scientists need a programming language that lets them express matrix and array mathematics directly. Linear algebra in MATLAB looks like linear algebra in a textbook. The same is true for data analytics, signal and image processing, control design, and other applications.

MATLAB Is Designed for Engineers and Scientists:

  • Function names and signatures are familiar and memorable.
  • The desktop environment is tuned for iterative engineering and scientific workflows.
  • Documentation is written for engineers and scientists, not computer scientists.

Developing algorithms in MATLAB is 10 times faster and more robust than developing in Java. We need to filter our data, look at poles and zeroes, run nonlinear optimizations, and perform numerous other tasks. In MATLAB, those capabilities are all integrated, robust, and commercially validated.

MATLAB Integrates Workflows: MATLAB helps automate the entire path from research to production.

CONNECT: Use MATLAB with over 1,000 common hardware devices.

ANALYZE: Integrate MATLAB into your production analytics applications.

SCALE: Run algorithms faster and with big data by scaling up to clusters, the cloud, and GPUs.

SIMULATE: Plug into Simulink and Stateflow for simulation and Model-Based Design.

EMBED:Convert MATLAB code to embeddable C and HDL code


Physical-world data: MATLAB has native support for sensor, image, video, telemetry, binary, and other real-time formats. Explore this data using MATLAB MapReduce functionality for Hadoop, and by connecting interfaces to ODBC/JDBC databases.

Machine learning, neural networks, statistics, and beyond: MATLAB offers a full set of statistics and machine learning functionality, plus advanced methods such as nonlinear optimization, system identification, and thousands of prebuilt algorithms for image and video processing, financial modeling, control system design.

High speed processing of large data sets. MATLAB’s numeric routines scale directly to parallel processing on clusters and cloud.

Online and real-time deployment: MATLAB integrates into enterprise systems, clusters, and clouds, and can be targeted to real-time embedded hardware.