Matlab (Presentation on MATLAB)
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MATLAB, short for Matrix Laboratory, is a high-performance programming language designed for technical computing, initially released in 1984. It is a proprietary software that has expanded from basic matrix manipulation to include a vast range of applications in science and technology, supporting multiple programming languages. Key features include an extensive library of functions, tools for data analysis and machine learning, and capabilities for interfacing with various hardware.
Matlab (Presentation on MATLAB)
- 1. Matlab Chetan Allapur - MATLAB
- 2. INTRODUCTION What is MATLAB? 1. MATLAB stands for MATRIX Laboratory. 2. MATLAB is a special purpose computer program optimized to perform engineering and scientific calculations. 3. It is a high-performance language for technical computing. Chetan Allapur - MATLAB
- 3. INTRODUCTION 1. MATLAB was initially released in 1984 - version 1.0, was Designed by Cleve Moler (American mathematician and computer programmer). 2. It was actually started with simple matrix manipulation and now it has grown with the capability of solving any technical problem. 3. It is proprietary programming language, it is not a open source software. 4. Latest version - MATLAB 9.8, version name - R2020a, release date - march 19th 2020. Chetan Allapur - MATLAB
- 4. Programming languages used in MATLAB: 1. MATLAB is a programming language in and of itself. 2. Historically, MATLAB was written in FORTRAN. 3. However, various parts of MATLAB and the associated development environment are written in C (the core framework), C++ (Parallel computing part is written in C++) and Java (most of the interfaces). 4. MATLAB can also call functions written in a large number of other languages — on top of those already mentioned, it can run code written in C#, Python and Perl — It also supports mathematical operations as well. Chetan Allapur - MATLAB
- 5. Why we use MATLAB? 1. It provides a very extensive library of predefined functions to make technical programming task easier and more efficient. 2. High level and High performance language for technical computing. 3. MATLAB has vast application in the field of Science and Technology. 4. MATLAB integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. 5. MATLAB can be interfaced with various hardwares like TMS320C6713, Arduino, FPGA,Raspberry pi etc. to enhance the data processing capabilities of MATLAB. Chetan Allapur - MATLAB
- 6. MATLAB Features and Tools: 1. Signal Processing/Analysis. 2. Image Processing. 3. Embedded Systems 4. Robotics. 5. Deep Learning. 6. Control System. Chetan Allapur - MATLAB
- 7. Advance Features in MATLAB: 1. MATLAB for Data Analytics. 2. MATLAB for Machine Learning. 3. MATLAB for AI. 4. Simulations and Report generation. 5. Test and Measurements Analysis. Chetan Allapur - MATLAB
- 8. Advantages for MATLAB for Technical Programming: ● Implement and test your algorithms easily ● Develop the computational codes easily ● Debug easily ● Use a large database of built in algorithms ● Process still images and create simulation videos easily ● Symbolic computation can be easily done ● Call external libraries ● Perform extensive data analysis and visualization ● Develop application with graphics user interface Chetan Allapur - MATLAB
- 9. Disadvantages: ● Slow speed: Interpreted language rather than compiled one. ● Cost: high cost effective for business purpose, less for student version. Chetan Allapur - MATLAB
- 10. Applications: 1. Embedded Systems 2. Control systems 3. Digital signal processing 4. Image processing and computer vision 5. Internet of Things 6. Mechatronics 7. Test and Measurement 8. Robotics 9. Data Analytics 10. Deep Learning Chetan Allapur - MATLAB