This document contains information about Mohamed Abd Elhay and his skills and experience with MATLAB. It provides an overview of MATLAB including its main components and applications. It describes the MATLAB development environment and some basic functions for vectors and matrices, plotting, conditional statements, and loops. It also lists some common MATLAB toolboxes for tasks like signal processing, neural networks, optimization, and more. It briefly introduces Simulink and discusses file types and GUIDE for building GUIs.

1. Mohamed Abd Elhay

2. Mohamed Abd Elahy
Embedded SW Engineer
Tel./010 9 15 77 828
Email/ mhmd.a.elhay@gmail.com

4. o MATLAB Desktop.
o Simulink
o GUI

5. MATLAB stands for matrix laboratory.
o High-performance language for
technical computing.
o Integrates computation,
visualization, and programming in
an easy-to-use environment where
problems and solutions are
expressed in familiar mathematical
notation.

6. The MATLAB Application:
o Math and computation
o Algorithm development
o Data acquisition
o Modeling, simulation, and prototyping
o Data analysis, exploration, and visualization
o Scientific and engineering graphics
o Application development, including
graphical user interface building

7. The MATLAB system have five main parts:
1.
Development Environment.
2.
The MATLAB Mathematical Function Library.
3.
The MATLAB Language.
4.
Graphics.
5.
The MATLAB Application Program Interface (API).
Blocksets
Toolboxes
DAQ cards
Instruments
Databases and files
Financial Datafeeds
Stateflow
Stateflow
Code Generation
PC-based real-time
systems
Desktop Applications
Automated Reports

8. MATLAB Disktop
Variable
browser
Command
window
Command history

9. Command window
•
•
•
•
•
•
•
•
save filename
load filename
who
whos
clear
clc
ctrl+c
exit or quit
% save data from workspace to a file
% loads data from file to a workspace
% list variables exist in the workspace
% list variables in details
% clear data stored in the workspace
% clears the command window
% To abort a command
% to quit MATLAB

10. Variables
• Variable name must start with letter.
• It is case sensitive.
• Hyphen
o isvarname X_001
o isvarname if
% Check possibility
• Max length
o namelengthmax
% depends on MATLAB version
• Variable can’t have the same name of keyword
o iskeyword
% list all MATLAB keywords

11. Variables
o x= [ 2 4 5 6 77 65]
% vector
o x= [ 2,4,5,6,77,65]
% same vector
o y= [3 7 5;5 6 3]
% matrix 2x3
o startP= 1;endP= 10; number_of_points= 100;
x= linspace (startP, endP, number_of_points)
o step= 0.1;
x= startP : step : endP;

12. Vectors & matrix operations
min(x); max(x)
% minimum; maximum elements
sum(x); prod(x)
% summation ; multiplication of all elements
length(x);
% return the length of the vector
size(x)
% return no. of row and no. of columns
anyVector(end)
% return the last element in the vector
find(x==value)
% get the indices
[v,e]=eig(x)
% eign vectors and eign values
fliplr(x)
% flip the vector left-right
Z=X*Y
% vectorial multiplication
y= sin(x).*exp(-0.3*x) % element by element multiplication

13. Plot
t=0:0.25:7;
y = sin(t);
plot(t,y) ;
xlabel('x axis');
ylabel('y axis');
title('Heading');
grid on;
gtext('text');

14. IF Condition
a= input( ‘A‘ )
if rem(a,2) ==0
msgbox(‘a is even’);
else
msgbox(‘a is odd’);
end
Switch case
A='bye';
switch A
case 'hi'
msgbox('he says hi')
case 'bye'
msgbox('he says bye')
otherwise
msgbox('nothing')
end

15. IF Condition
a= input( ‘A‘ )
if rem(a,2) ==0
msgbox(‘a is even’);
else
msgbox(‘a is odd’);
end
Switch case
A='bye';
switch A
case 'hi'
msgbox('he says hi')
case 'bye'
msgbox('he says bye')
otherwise
msgbox('nothing')
end

16. For Loop
for n = 1:32
r(n) = n;
end
While Loop
x = 1;
while (x^2<10)
%(Condition)
y=x^2;
plot(x,y,’or’); hold on
x = x+1;
end

17. Statistics Toolbox
Statistics
o Contains about 250 functions and GUI’s for:
generating random numbers, probability
distributions, hypothesis Testing, statistical
plots and covers basic statistical functionality
Signal Processing Toolbox
o An environment for signal analysis
waveform generation, statistical signal
processing, and spectral analysis
o Useful for designing filters in conjunction with
the image
Signal Processing

18. Neural Network Toolbox
Neural Networks
o GUI for creating, training, and simulating
neural networks.
o It has support for the most commonly used
supervised
Optimization Toolbox
o Includes standard algorithms for optimization
o Including minimax, goal attainment, and semiinfinite minimization problems
Optimization

19. Curve Fitting Toolbox
o Allows you to develop custom linear and
nonlinear models in a graphical user interface.
o Calculates fits, residuals, confidence intervals,
first derivative and integral of the fit.
Another Tool boxes :
o Communications Toolbox
o Filter Design Toolbox
o Control System Toolbox
o Financial Toolbox
o Data Acquisition Toolbox
o Fixed-Point Toolbox
o Database Toolbox
o Fuzzy Logic Toolbox
o Image Processing Toolbox

20. o Simulink is a graphical, “drag and drop” environment for building
simple and complex signal and system dynamic simulations.
o It allows users to concentrate on the structure of the problem, rather
than having to worry (too much) about a programming language.
o The parameters of each signal and system block is configured by the
user (right click on block)
vs, vc
o Signals and systems are simulated over a particular time.
20/14
t

21. o .fig
MATLAB Figure
o .m
MATLAB function, script, or class
o .mat
MATLAB binary file for storing variables
o .mex
MATLAB executable (platform specific, e.g. ".mexmac" for the Mac, ".mexglx" for Linux)

22. o GUIDE :
stores GUIs in two files, which are generated the
first time you save or run the GUI:
.fig file :
Contains a complete description of the GUI
figure layout and the components of the GUI,
Changes to this file are made in the Layout
Editor.
.m file :
Contains the code that controls the GUI, You
can program the callbacks in this file using
the M-file Editor.

23. C/C++
Java
Perl
Excel / COM
File I/O

24. COM
Excel

25. oImage
a =imread('cameraman.tif');
imshow(a);
pixval on;
oAudio
a =wavread('test.wav');
wavplay(a,44100);
Plot(a);
oVideo
a=aviread('movie.avi');
movie(a);