MATLAB is a numerical computing environment and programming language developed in the 1970s. It was originally designed for matrix computations but has grown to include tools for data analysis, visualization, and GUI design. MATLAB allows both numeric calculations and programming and is commonly used in engineering, science, and mathematics applications. It includes toolboxes for tasks like signal processing, control systems, and computer vision.

3. Introduction to
MATLAB

4.  Developed primarily by Cleve Moler in the
1970's using FORTRAN subroutines.
 Rewritten in C in the 1980's with more
functionality, which also include plotting
features.
 The MathWorks Inc. was created (1984) to
market and continue development of
MATLAB.

5.  The name MATLAB stands for MATrix
LABoratory.
 It is a package for scientific and technical
computations and modeling.
 It was originally designed for solving linear
algebra type problems using matrices.
 MATLAB is a high-performance language
for technical computing. It integrates
computation, visualization, and
programming environment.

6.  The MATLAB environment is command oriented
somewhat like UNIX. A prompt appears on the
screen and a MATLAB statement can be entered.
When the <ENTER> key is pressed, the statement
is executed, and another prompt appears.
 MATLAB now has built-in functions for solving
problems requiring data analysis, signal
processing, optimization, and several other types
of scientific computations.
 It also contains functions for 2-D and 3-D graphics
and animation.

7.  It is a high level language for technical
computation.
Matlab
High Level
Languages such as
C, Pascal etc.
Assembly

8.  MATLAB is case sensitive.
 The fundamental data type is an array.
 Has ability to make functions in command
window in a single line.
 Can be linked to C/C++, JAVA, SQL, etc.
 Specific applications are collected in
packages referred to as toolbox.
 It is possible to keep track of everything done
during a MATLAB session.

9. Some Glimpses of the power of MATLAB

10. Some Glimpses of the power of MATLAB

11. Some Glimpses of the power of MATLAB

12. Some Glimpses of the power of MATLAB

13. 1. Numerical computation and symbolic
calculations
2. Data processing
3. Programming
4. Visualization
5. GUI
6. System modeling and simulation.
7. Design Games

15.  .fig MATLAB Figure
 .m MATLAB function, script,
or class
 .mat MATLAB binary file for storing
variables
 .mex MATLAB executable (platform
specific, e.g.".mexmac" for Mac,
".mexglx" for Linux, etc.)
 .p MATLAB content-obscured .m
file (result of pcode() )

16. Matlab
Series of Matlab
commands
Command
m-files mat-files
Line
functions Command execution Data storage/
like DOS loading
Input command window
Output
capability

17.  In has the extended graphical capability.
 The various plots are:
1. 2-D plots
2. 3-D plots
3. Scatter plots
4. Mesh plots
5. Surface plots
6. Etc...

19.  Simulink software models, simulates, and analyzes
dynamic systems.
 Simulink supports linear and nonlinear systems,
modeled in continuous time, sampled time, or a
hybrid of the two.
 Used to model and solve real problems in a variety
of industries, including:
• Aerospace and Defense
• Automotive
• Communications
• Electronics and Signal Processing
• Medical Instrumentation

21.  Control System Toolbox
 Image Processing Toolbox
 Signal Processing Toolbox
 Financial toolbox
 Statistical Toolbox
 Communication Toolbox
 Neural Network Toolbox
 Fuzzy Logic Toolbox
 Aerospace Toolbox
 Fixed Income Toolbox

22.  MATLAB may behave as a calculator or as a
programming Language.
 MATLAB combines calculation and graphic plotting.
 MATLAB is relatively easy to learn.
 MATLAB is interpreted (not compiled), errors are
easy to fix.
 MATLAB is optimized to be relatively fast when
performing matrix operations.

23.  Academics and scientific research.
 Defense applications
 Space exploration
 Artificial Intelligence
 Bio-informatics and medical science
 Forecasting
 Plant modelling
 Finance
 Security Systems
 Communication & Networking

24.  Electronics
 Communication
 Chemical
 Biomedical
 Software industries
 Finance companies
 Instrument manufacturers
 Plant designing
Note:- It has extensive use in R&D department of
almost all the big companies.

25.  MathWorks
 Intel
 Cadence
 Philips, Sony, Samsung, LG
 IBM, HP, Acer
 General Motors, Ford, Honda
 NSN, Ericsson, Tech Mahindra
 NASA
 ISRO
 CSIO, DRDO, BEL, BDL

26. QUESTIONS